Total Quests
21
QUEST INTELLIGENCE
Total Quests
21
Finished
19
In Progress
0
Blocked
0
Abandoned
2
Current normalized state across all quests
Monthly trend using each quest's final/current status
21 quests represented
Relocated six Quest role files from `.ai/roles/` to `.skills/quest/agents/`, then updated runtime references, validators, metadata, and docs to match the new ownership model.
Implemented `scripts/validate-quest-state.sh` — the first system-enforced correctness check for Quest phase transitions. The shell script validates state.json integrity, phase transition legality, artifact prerequisites, semantic content checks (arbiter verdict, review outcomes via jq on handoff JSON), and iteration bounds before every phase transition.
Implemented the handoff.json structured file pattern to close the remaining context leaks in the Quest orchestrator. Every agent now writes a tiny JSON file (~200 bytes) alongside its artifacts, and the orchestrator reads this file for routing decisions instead of processing full agent responses.
Restructured the Quest Dashboard layout to match the target executive "Quest Intelligence" design from PR #21. The dashboard now features the "QUEST INTELLIGENCE" branding eyebrow, "Quest Portfolio Dashboard" title, 5 KPI cards (Total, Finished, In Progress, Blocked, Abandoned), side-by-side chart panels (Status Distribution doughnut + Final Status Over Time line chart), and a unified Quest Portfolio section with redesigned cards showing full pitch text and labeled metadata.
Fixed HTML attribute injection (XSS) vulnerability in the Quest Dashboard's URL rendering. Added `_sanitize_url()` function that validates scheme (HTTPS-only), validates GitHub URL pattern via regex, and applies HTML attribute escaping before any URL is interpolated into `href="..."` attributes. Also escaped fallback relative paths, removed stderr side effect from loaders, and unified the `github_url` missing-value convention.
Restored visual features from the PR #21 prototype that were cut during the dashboard-v2 implementation. Added ambient CSS glows (green, blue, amber blurred circles behind content), interactive Chart.js doughnut and stacked area charts, and gradient enhancements on cards and section headers. Chart.js 4.4.7 is vendored and inlined at render time — the dashboard remains a single self-contained HTML file with no external dependencies. Graceful degradation ensures the dashboard still works if the vendor file is missing.
Built the Quest Dashboard: a self-contained Python package that generates a static HTML dashboard from quest journal entries and active quest state files. Three status sections (Finished, In Progress, Abandoned) with dark navy theme, elevator pitch cards, journal/PR links, and muted metadata. Single-file HTML output with no external dependencies.
Added a GitHub Actions workflow to run the Python test suite (pytest) on every push to main and PR targeting main. This ensures the 36 Quest Dashboard unit and integration tests are enforced in CI, preventing regressions from slipping through undetected.
First attempt at building the Quest Dashboard. Plan was approved by arbiter after one iteration, but the build phase was interrupted when models were switched from Sonnet to Opus. Rather than resuming, a new quest (dashboard-v2) was created using this quest's approved plan as input. Dashboard-v2 completed successfully.
Ported the Codex CI code review workflow from candid_talent_edge (PR #164) to the Quest framework repository. Added a GitHub Actions workflow that triggers OpenAI Codex as an automated code reviewer when a PR transitions from draft to ready-for-review, a Quest-adapted CI code reviewer skill, and registered the new skill in the catalog and manifest.
Implemented Phase 2 of the Quest architecture evolution: the "thin orchestrator" principle. The Quest orchestrator now passes file paths to subagents instead of embedding content, reducing context growth from O(n*content_size) to O(n*one_line).
Analyzed how Quest should organize, manage, and distribute skills. Researched community best practices (Agent Skills standard, plugin marketplaces, distribution patterns). Produced strategic recommendations.
Fixed handoff contract inconsistencies across Quest role files and workflow. Standardized all 6 role files on `---HANDOFF---` text format with STATUS/ARTIFACTS/NEXT/SUMMARY fields, removed "Context Is In Your Prompt" contradictions, and made workflow prompts explicitly request handoff format.
Decomposed the monolithic `.skills/quest/SKILL.md` (635 lines) into a slim routing entry point (73 lines) plus three delegation files under `.skills/quest/delegation/`. The delegation pattern structurally enforces intake quality — vague input routes to a dedicated questioning phase before planning begins, while detailed input goes directly to the workflow.
Comprehensive research exploration mapping 11 distinct caching strategies applicable to the Quest AI agent system. The quest produced two educational research documents and a quest index README — no code changes, as the research itself was the deliverable.
Implemented automatic weekly update checking for Quest. After a quest completes, the system checks if updates are available (respecting a configurable interval) and prompts the user to update if a newer version exists upstream.
Planned a dual-planning-track feature for `/quest` where users could choose between "Quest" (fast, single plan) and "Quest Council" (rigorous, two competing plans merged by arbiter). Plan was approved after 2 iterations but was never built.
First-ever quest run on the extracted repository. Validated that the Quest blueprint was correctly extracted from the source repo, created the `ideas/` directory for tracking future work, and updated the README with public domain messaging.
Enhanced the quest orchestration to present plans interactively rather than dumping the full plan at once. Users now see a brief summary first, then can opt into a phase-by-phase walkthrough with the ability to request changes at each step.
Created a single unified installer script (`scripts/quest_installer.sh`) that installs and updates Quest in any repository.
Implemented GitHub Actions CI and local pre-commit hooks that validate quest-related artifacts to prevent broken configurations from being committed.