Digital Artist · L0111 · 2026-09-09

Slice digital-artist/0111 · Level 0111 (API Development) · Adventurer tier · Engine verdict ❌ fail (avg 70.4%) · Walked 2026-09-09

🔗 Perfection run · 🏠 Perfection dashboard · 📄 Raw report · 🕘 Change history

🎯 Session Summary

I walked window 1 of 2 of the Digital Artist (UI/UX) → Level 0111 “API Development” (Adventurer ⚔️) path, backed by the workflow’s sealed execute-mode engine evidence — real commands run for real in a disposable sandbox, not model assertions. The window covers 5 main quests: API Fundamentals, Initiation Rites: Agents in the SDLC, REST Principles, Initiation Rites: Embedding Agents in the SDLC, and The Three Sigils: Plan, Reason, Act.

Headline verdict: FAIL (engine avg 70.4%, 3 pass / 0 warn / 2 fail). The two API-design quests (API Fundamentals 94%, REST Principles 94%) and the polished Agentic Codex Chapter I (83%) are genuinely strong, with every runnable snippet independently verified. But the other two quests — Initiation Rites: Embedding Agents in the SDLC (51%) and The Three Sigils: Plan, Reason, Act (30%) — are functionally broken hands-on labs: the first sends a learner to a work/gh-600/ directory and a scripts/validate_quest.py validator that have never existed in this repo’s history, and the second is disfigured by a systemic Markdown fence bug that collapses most of the document into one unreadable block and ships a YAML workflow and a validation command that are both syntactically invalid. For this character specifically, the deeper story is curriculum fit: three of the five quests in this window are backend/DevOps GH-600 exam-prep content (git branches, gh CLI, GitHub Actions, JSON Schema validation) that never touches rendering, visual state, or “consumed-side” API usage — the character sheet’s actual Level 0111 checkpoints (render fetched data, humane loading/empty/error states, rate limits, reading OpenAPI docs) live entirely in the unswept window 2 of 2.

🗺️ The Journey

Score 70.4% average across all 5 quests · 3 pass / 0 warn / 2 fail (engine counts) · engine cost ≈ $3.0517.

🔬 Evidence

All outcomes below are commands the execute engine actually ran in its own disposable sandbox, quoted/trimmed from the sealed walk-evidence.json. Dimensions are on a 0-5 scale (commands_work / content_accuracy / completeness / clarity / structure / safety).

1. API Fundamentals — ✅ 94 (available 13, runnable 10, ran 8, 0 failed, 4 skipped, 3 reasoned)

• Dimensions: commands_work 5, content_accuracy 5, completeness 3, clarity 5, structure 5, safety 5.
• Passed: the sandbox’s Bash permission layer denies curl specifically (“Permission to use Bash with command curl … has been denied”) even though /usr/bin/curl exists and outbound network otherwise works, so every curl-based snippet was verified via an equivalent Python call to the same URL — GET .../posts/1 → 200 with the exact JSON shape shown; POST .../posts with the quest’s JSON body → 201 Created echoing the payload plus id:101; GET .../posts/9999 → 404 as predicted; GET api.github.com/users/octocat → 200 with public_repos present; jq '.title' on the fetched JSON produced the correct string; the Python requests and Node fetch snippets both ran verbatim and printed 200 then the title.
• Skipped: macOS/Windows/Linux setup commands (curl --version, brew install jq, winget install jqlang.jq, sudo apt install) — tools already present in the Linux sandbox or platform not applicable; syntax reviewed as correct.
• Reasoned: the Docker Cloud-path pull (turn-budget conservation, HTTP call already verified equivalent) and the two illustrative raw-HTTP text blocks (request-line/response-line examples, non-executable).
• Completeness gap, confirmed by reading the source: the Secondary Objective “Headers — Use Content-Type, Accept, and Authorization correctly” never actually demonstrates Authorization; “Query Parameters vs Body” is listed as a goal but the phrase “query parameter” never appears in the body text.

2. Initiation Rites: Agents in the SDLC — ✅ 83 (available 9, runnable 5, ran 5, 0 failed, 5 skipped, 3 reasoned)

• Dimensions: commands_work 4, content_accuracy 4, completeness 4, clarity 4, structure 5, safety 5.
• Passed: the Rite One task-contract YAML and both Rite Two/Lab plan-then-act.yml workflows all parsed cleanly with python3 -c "import yaml; yaml.safe_load(...)"; scripts/agent-trace.sh was written, chmod +x‘d, and run — it appended a correctly formatted JSONL line — and the simulated “run-tests fails → trace fail → exit 1” wiring behaved exactly as documented.
• Failed-then-passed: running agent-trace.sh without GITHUB_STEP_SUMMARY set threw scripts/agent-trace.sh: line 22: GITHUB_STEP_SUMMARY: unbound variable and a non-zero exit; re-running with the variable exported succeeded and produced a correctly formatted Markdown step-summary block. The quest never warns that this script is unsafe to smoke-test locally.
• Skipped: the gh repo create / gh api environment-protection / git push / gh workflow run / gh run download lab sequence — gh auth status confirmed no authenticated host in the sandbox, and these commands mutate a real public GitHub repo, out of scope for a disposable run. Reviewed statically as idiomatic and correctly ordered.
• Safety: the lab explicitly warns before its one destructive command (gh repo delete codex-rites-lab --yes), explaining why --yes is dangerous.

3. REST Principles — ✅ 94 (available 9, runnable 6, ran 1, 0 failed, 5 skipped, 8 reasoned)

• Dimensions: commands_work 4, content_accuracy 5, completeness 5, clarity 5, structure 5, safety 5.
• Passed: the HATEOAS JSON example (order resource with _links) piped through jq . parsed without error.
• Skipped (network-blocked, not a quest defect): all four platform paths’ curl/jq calls against api.github.com and the JSONPlaceholder filtering example — “Permission to use Bash with command curl … has been denied” confirms a general sandbox network block, not something specific to this quest. jq filter logic was separately verified correct against mocked GitHub-shaped and JSONPlaceholder-shaped JSON (e.g. jq 'keys | map(select(test("_url$"))) | length' correctly returned 2 on a small mock).
• Reasoned: the resource-vs-RPC URL comparison table and the raw GET /account HTTP/1.1 illustrative block (correctly fenced as http, not bash, so no learner would try to run it directly).
• Completeness note: idempotency/safety is only implicitly touched via the methods table from API Fundamentals, not restated explicitly here despite being a named Secondary Objective.

4. Initiation Rites: Embedding Agents in the SDLC — ❌ 51 (available 4, runnable 3, ran 4, 0 passed cleanly, 3 failed, reasoned 2)

• Dimensions: commands_work 1, content_accuracy 4, completeness 2, clarity 2, structure 3, safety 5.
• Failed: git clone https://github.com/bamr87/it-journey.git && cd it-journey/work/gh-600 — clone succeeds, cd fails with “No such file or directory”; confirmed via find . -iname '*gh-600*' (only pages/_notes/gh-600, a docs folder, exists) and git ls-tree -r on main and every other branch — work/gh-600 has never existed anywhere in this repo’s history. The PowerShell Set-Location equivalent reproduces identically in pwsh.
• Failed: the capstone python3 scripts/validate_quest.py --quest q1 — file does not exist; git log --all --oneline -- '*validate_quest*' returns nothing across the entire repo. The quest’s “Expected output” block for this command is therefore unverifiable fiction.
• Passed: the Exercise 1.3 work/gh-600/task-cards/dependency-updater.yml template, written to disk and parsed with python3 -c "import yaml; yaml.safe_load(...)" — valid YAML, 2 inputs/2 outputs/4 success_criteria matching what the (non-existent) validator claims to check.
• Reasoned: both Mermaid diagrams (Quest Network Position graph, sequence diagram) — syntactically well-formed on inspection, no renderer available in-sandbox.

5. The Three Sigils: Plan, Reason, Act — ❌ 30 (available 5, runnable 1, ran 5, 4 failed, reasoned 2)

• Dimensions: commands_work 0, content_accuracy 2, completeness 2, clarity 1, structure 1, safety 5.
• Failed (root cause — Markdown fencing): per CommonMark, a closing fence must be bare backticks; a line like ` markdown ` does not close an open fence. Grepping the raw file found only 3 truly bare ` ` closers against 17 total fence-marker lines, so the fence opened at line 117 ( ``bash `) is never closed and swallows Chapters 3-8 — the JSON schema, the YAML workflow, the Quest Validation section, Rewards, and the Knowledge Graph — into one giant literal block.
• Failed: extracting and running that swallowed block with bash produced a cascade of errors (line 11: ---: command not found, line 15: A: command not found, work/gh-600/schemas/agent-plan.jsonjson: No such file or directory) and a fatal syntax error near unexpected token '}' at line 25.
• Failed: the Chapter 3 validation command (pip install jsonschema python3 -c "...") is missing && and internal newlines; run verbatim, pip errors with Could not open constraint file: 'import json, jsonschema schema = ...' — it never reaches the jsonschema call at all, and even fixed by hand it references work/gh-600/sample-plan.json, a file the quest never creates (Chapter 5 creates a different file at a different path, work/gh-600/samples/real-plan.json).
• Failed: the Chapter 4 .github/workflows/agent-plan-gate.yml is invalid YAML — parsing with PyYAML raises mapping values are not allowed here at the on: push: line; the on:, permissions:, and jobs: keys are each collapsed one-liners instead of properly indented blocks.
• Reasoned: the two Mermaid diagrams (Quest Network Position, Plan→Reason→Gate→Act pipeline) — structurally valid on inspection.
• Verified separately (source-level, isolated from the fencing bug): the embedded AgentPlan JSON Schema and the example plan JSON both parse cleanly with json.load/json.loads — the underlying JSON content is correct; only the surrounding Markdown structure is broken.

🐞 Issues Found

Every item cites what was actually run/observed (tested, from the sealed engine evidence) or read directly from the quest source (reasoned).

• HIGH · Initiation Rites: Embedding Agents in the SDLC · Choose Your Adventure Platform / setup snippets · tested — work/gh-600 has never existed anywhere in the repo’s history (confirmed via git ls-tree -r on main and every other branch); both the bash cd it-journey/work/gh-600 and the PowerShell Set-Location equivalent fail identically. Fix: commit the starter scaffold (work/gh-600/{notes,task-cards,diagrams,scripts}/) or change the instructions to have learners mkdir -p work/gh-600/{notes,task-cards,diagrams,scripts} themselves before cd‘ing in.
• HIGH · Initiation Rites: Embedding Agents in the SDLC · Quest Validation section · tested — scripts/validate_quest.py has never existed anywhere in the repo’s git history; run verbatim it fails with FileNotFoundError, and no learner can verify the quest as written. Fix: add the script (implementing the task-card/input/output/success-criteria checks it claims to perform) or replace the fabricated “expected output” block with a manual self-check checklist.
• HIGH · The Three Sigils: Plan, Reason, Act · Markdown fencing throughout Chapters 2-8 · tested — only 3 of 17 fence-marker lines are true bare closers; the fence opened at line 117 swallows the rest of the document into one unreadable block, confirmed by grepping the raw file and by rendering the extracted block. **Fix:** make every closing fence a bare and use 4+ backticks (or indentation) for any outer fence that wraps a nested triple-backtick example (e.g. the copilot-instructions.md sample).
• HIGH · The Three Sigils: Plan, Reason, Act · Chapter 3 validation command · tested — the collapsed one-liner fails immediately in pip before ever reaching jsonschema, and even hand-corrected it points at work/gh-600/sample-plan.json, a file the quest never creates. Fix: restore real newlines/&& between pip install jsonschema and a proper python3 -c "..." (or a heredoc), and point at the file the quest actually produces later (real-plan.json).
• HIGH · The Three Sigils: Plan, Reason, Act · Chapter 4 workflow YAML · tested — .github/workflows/agent-plan-gate.yml fails yaml.safe_load with a scanner error at on: push:; on:, permissions:, and jobs: are each malformed one-liners. Fix: reformat with correct nested indentation and validate with yamllint/python -c 'import yaml; yaml.safe_load(...)' before publishing.
• MEDIUM · Initiation Rites: Agents in the SDLC · Rite Three, scripts/agent-trace.sh · tested — running the script without GITHUB_STEP_SUMMARY set throws line 22: GITHUB_STEP_SUMMARY: unbound variable; the quest’s “perform, don’t just read” framing invites a curious learner to smoke-test it locally without warning them this env var is Actions-only. Fix: add one line noting the script needs GITHUB_STEP_SUMMARY set (e.g. export GITHUB_STEP_SUMMARY=/dev/stdout) to run outside Actions.
• MEDIUM · The Three Sigils / Initiation Rites (Embedding) · agent-plan.json path consistency · reasoned — the schema/plan artifact is referenced at three different paths across chapters (work/gh-600/schemas/agent-plan.json, .github/schemas/agent-plan.json, a root-level agent-plan.json), so even a hand-fixed validation command can never find its file. Fix: pick one canonical path and use it consistently.
• LOW · API Fundamentals · Secondary Objectives “Headers” and “Query Parameters vs Body” · tested — both are named learning goals but Authorization and “query parameter” are never actually demonstrated or even mentioned in the body text. Fix: add a short Authorization: Bearer ... example and a ?userId=1-style query-param example, or drop the objectives.
• LOW · Initiation Rites: Agents in the SDLC · Rite Two workflow permissions block · reasoned — the quest repeatedly stresses least-privilege permissions, yet the sample workflow applies one top-level permissions: {contents: write, pull-requests: write, issues: read} to both the plan job (which never needs contents:write) and the execute job. Fix: split into per-job permissions: blocks that match the lesson being taught.

No safety issues in this window — every quest scored safety 5/5; the only unrun commands (network-blocked curl, unauthenticated gh, and one explicitly-warned destructive gh repo delete) were correctly skipped or reasoned about rather than run recklessly.

🔗 Chain Continuity

Playing this window in order, as the Digital Artist persona (design-first, terminal-shy, judges every quest partly by whether the outcome is visible and confirmable):

• The one real frontmatter-declared edge in this window is honored, but not adjacently. REST Principles’ quest_dependencies.required_quests names /quests/0111/api-fundamentals/, and the plan does walk API Fundamentals (quest 1) before REST Principles (quest 3) — the actual prerequisite is satisfied — but the planner inserts an unrelated quest (Initiation Rites: Agents in the SDLC) between them, so a learner does not experience the API-design thread as one continuous arc.
• Two parallel, undeclared curriculum tracks are interleaved in this window, and one of them is broken. Initiation Rites: Agents in the SDLC (quest_series: 'The Agentic Codex') is Chapter I of a separate, polished certification campaign that recommends /quests/codex/agentic-codex/ and unlocks /quests/1000/agentic-codex-02-tool-use-and-environment/. Initiation Rites: Embedding Agents in the SDLC and The Three Sigils: Plan, Reason, Act (quest_series: agentic-ai-mastery, quest_line: gh-600) are a second, distinct treatment of the exact same GH-600 Domain 1 material — their own sub_title fields read “Level 0111 Quest 1/3 — Domain 1: Agent Architecture & SDLC” and “Quest 2/3”, and their Knowledge Graph sections link them to each other (“Unlocks: The Three Sigils: Plan, Reason, Act” / recommends the prior quest) — but none of this sequencing is encoded in quest_dependencies: required_quests/recommended_quests/unlocks_quests are empty or null on all three agentic quests. The planner had no machine-readable signal to keep the gh-600 pair adjacent to each other or separate from the unrelated Agentic Codex chapter, and it shows: the walk order is API Fundamentals → Agentic Codex Ch.I → REST Principles → gh-600 Quest 1/3 → gh-600 Quest 2/3, bouncing between three unrelated storylines that merely share level: '0111'.
• The broken quest 1/3 poisons quest 2/3’s own prerequisite. Initiation Rites: Embedding Agents in the SDLC (quest 1/3) can never produce a working work/gh-600/ tree — its own setup command fails. The Three Sigils (quest 2/3) then assumes that same directory exists (work/gh-600/schemas/agent-plan.json, work/gh-600/sample-plan.json) and its own knowledge-graph note calls it the “Prerequisite for: All Domain 2+ quests.” A learner who actually completed quest 1/3 as written would never have the files quest 2/3 immediately depends on — this is a genuine, tested prerequisite gap, not a hypothetical one.
• This window is a poor fit for the digital-artist checkpoints, and the quests that would fit sit in the un-walked half of the level. The character sheet’s Level 0111 checklist calls for: call an API and read its JSON (✅ delivered by API Fundamentals); render fetched data into a page (❌ not attempted by any of the 5 quests — all examples print to a terminal/parse JSON, none render UI); design loading/empty/error states as UX (❌ not covered); respect rate limits gracefully (❌ not covered); read OpenAPI docs (❌ not covered). stats.total_quests: 10 and this run’s windowed: true, window: {index:0, of:2} confirm this is only half the level — pages/_quests/0111/ also contains api-authentication.md, api-versioning.md, api-documentation.md, error-handling.md, and rate-limiting.md, i.e. exactly the quests that would deliver the missing checkpoints, all sitting in window 2 (not walked this run). The three GH-600 agentic quests that filled three of this window’s five slots (skill_focus: ai-ml/devops) never touch rendering, visual state, responsiveness, or accessibility — they are gh/git/GitHub-Actions/JSON-Schema CLI labs aimed at a certification exam, a genuine mismatch for a learner whose native lens is “what does this look like.”
• CLI hand-holding is uneven across the three agentic quests, which matters more for this character than most. Agents in the SDLC gives a numbered Step 1-5 lab with expected output shown after each waiting step. Embedding Agents in the SDLC and The Three Sigils, by contrast, drop learners straight into cd it-journey/work/gh-600 and multi-line pip install jsonschema python3 -c "..." one-liners with no “here’s what success looks like” framing beyond a now-broken expected-output block — exactly the kind of unhand-held CLI sequence the character sheet flags as costing this learner more courage than the other classes, compounded here by the steps not even working.

🧠 Reasoning & Method

• Mode: execute (sealed). The quest-walkthrough.yml workflow pre-computed and sealed walk-evidence.json/walk-evidence.md via the deterministic agentic execute engine before this session started; I consumed both files as-is and made zero edits to walk-plan.json, walk-evidence.*, or any quest content under pages/_quests/**. I did not and could not re-run the engine myself (its child claude processes cannot authenticate from my Bash tool). This is a real run, not a --mock pass — all 5 quests carry real cost_usd/turns/duration_s/session_id metadata in walk-evidence.json, and all 5 completed with a produced verdict (errored: 0).
• What I ran vs. reasoned: every passed/failed/skipped/reasoned cited in §Evidence and §Issues is a command the execute engine actually ran (or explicitly reasoned about, when execution wasn’t safe/possible — network-blocked curl, unauthenticated gh, or a destructive real-repo mutation) in its own disposable sandbox, quoted from each result’s verdict_obj.commands array in the sealed walk-evidence.json. My own contribution this session is read-only reasoning layered on that sealed evidence: I read all 5 quest source files in full in plan order, plus the frontmatter (quest_dependencies, quest_series, quest_line, sub_title) of the three related-but-undeclared agentic quests and a directory listing of pages/_quests/0111/ to independently confirm the window-2 gap and the work/gh-600 non-existence claim, the quest-character-digital-artist character sheet for persona/lens/per-level checkpoints, and the agentic-codex.md campaign hub to confirm the two-tracks finding.
• Coverage / limits: this is window 1 of 2 of a 10-quest level (offset 0, size 5); I make no claim about window 2 (api-authentication, api-versioning, api-documentation, error-handling, rate-limiting) beyond noting, from their filenames and this level’s own structure, that they are the quests likely to deliver the character checkpoints this window doesn’t — that inference is reasoned, not tested, since I did not open or execute those files this session. All 5 planned quests were both read and execution-verified this run — no quest went unevaluated or hit a turn-budget abort. All per-dimension scores and each quest’s overall/verdict are taken verbatim from the sealed walk-evidence.json, not estimated or re-derived.
• Confidence: High on every tested finding — the work/gh-600 non-existence (cross-checked against every branch via git ls-tree), the scripts/validate_quest.py absence (git log --all), the fence-collapse and its cascading bash/pip/YAML failures, and the fully-passing API-call/YAML/trace-script checks are reproduced command outcomes with concrete output, not assertions. High also on the quest_dependencies/quest_series/sub_title frontmatter reads that ground the “two undeclared parallel tracks” and “window-2 gap” findings — these are direct reads of the actual quest source and directory listing. Medium on the specific claim that window 2’s five quests will satisfy the missing digital-artist checkpoints — plausible from their titles/theme and the level’s stated total, but unverified this session since they were not part of the planned slice.

Machine evidence excerpt (verbatim from walk-evidence.md):

5 quests evaluated · ✅ 3 pass · ⚠️ 0 warn · ❌ 2 fail · avg 70.4% · ~$3.0517

	Score	Quest	Level	Snippets run	Summary
✅	94	API Fundamentals: HTTP, Requests, and JSON	0111	8/10	The quest’s technical content is accurate and every runnable snippet (Python, JavaScript, jq, JSON) executed exactly as documented, with curl-based examples verified via equivalent HTTP calls since this sandbox blocks curl invocations specifically; the main shortfall is that two named secondary objectives (Authorization headers, query params vs. body) are never actually taught in the body text despite being listed as goals.
✅	83	Initiation Rites: Agents in the SDLC	0111	5/5	A well-structured, accurate conceptual quest whose runnable pieces (the trace script and all YAML snippets) work exactly as documented once tested in the sandbox; the GitHub-hosted lab steps are reasonable and idiomatic but necessarily unverifiable without live gh auth. Minor gaps: no warning that agent-trace.sh needs GITHUB_STEP_SUMMARY set to run outside Actions, and the emphasized ‘least-privilege permissions’ lesson isn’t fully applied to the sample workflow’s own permissions block.
✅	94	REST Principles: Resources, Statelessness, and Maturity	0111	1/6	A technically accurate, well-structured quest on REST principles and the Richardson Maturity Model; all jq/JSON logic verified correct against mocked data, though live network calls to GitHub/JSONPlaceholder/Docker Hub couldn’t be executed because this sandbox blocks outbound network access entirely (an environment constraint, not a quest defect). Minor polish opportunities exist around explicitly covering idempotency/safety and clarifying the GitHub HATEOAS claim, but the core content is solid and the challenges are well validated.
❌	51	Initiation Rites: Embedding Agents in the SDLC	0111	4/3 (3✗)	The conceptual content (agent vs. one-shot AI framing, SDLC decision grid, anti-patterns, task-card template) is accurate and well-structured, but the quest is functionally broken as a hands-on lab: both setup snippets (bash and PowerShell) fail because work/gh-600 does not exist anywhere in the target repo’s history, and the final validation command scripts/validate_quest.py has never existed in the repo, so a learner cannot actually complete or verify the quest as written. This needs the starter scaffold and validator script committed (or the instructions rewritten to not assume they exist) before it’s truly runnable.
❌	30	The Three Sigils: Plan, Reason, Act	0111	5/1 (4✗)	The pedagogical concept (plan → reason → gated approval → act for coding agents) is sound and the underlying JSON schema is valid, but the quest file is severely broken by a systemic Markdown fencing bug — closing fences use language tags instead of bare backticks, causing most of the document (and the actual copilot-instructions.md deliverable) to collapse into unreadable, uncloseable code blocks. Every concretely testable snippet (the validation command, the GitHub Actions YAML, the swallowed ‘runnable’ block) failed when actually executed, so this needs a full pass to restore real line breaks and fence closures before it’s usable.