โ† ClaudeAtlas

artefacts-create-auditlisted

{{ ๐›€๐›€๐›€ }} Audit a topic and render an actionable, status-grouped HTML findings artefact.
JasonWarrenUK/goblin-mode ยท โ˜… 5 ยท AI & Automation ยท score 73
Install: claude install-skill JasonWarrenUK/goblin-mode
Audit a topic and render the findings as a self-contained, actionable HTML page: findings grouped by delivery status, ranked by severity, each verified before it ships. Uses the visual-explainer plugin's rendering patterns. The output is the audit artefact this skill was distilled from: a masthead + KPI row, findings grouped into collapsible **To do / In progress / Done** sections, severity shown on both a chip and the colour of each finding number, a severity/type filter bar, and a refuted section that keeps the audit falsifiable. ## Step 1 โ€” Interpret `$ARGUMENTS` (auto-detect) - **Empty** โ€” ask the user what to audit, then stop. Do not invent a topic. - **A path to a `.json` file** (matches something like `*.json` and the file exists) โ€” **render-only mode**. Load it as the findings dataset and skip to Step 3. Expected shape is documented in Step 2. - **Anything else** โ€” treat the whole string as the **topic** to audit (a roadmap, a design doc, a subsystem, a PR, a migration). Proceed to Step 2. ## Step 2 โ€” Gather findings (topic mode) Analyse the topic and produce a findings dataset. Read the relevant docs and code first; for a broad or uncertain scope, fan out parallel read-only searches (an `Explore` subagent per area) before drawing conclusions. For a genuinely large or adversarial audit, a Workflow (multi-lens find โ†’ dedupe โ†’ adversarial verify โ†’ completeness critic) produces a far stronger set; use it when the topic warrants the cost. Each finding must carry: -