Post cold start verification
Skill kunalsuri/ai-fication-kit/templates/claude/skills/post-cold-start-verification
AI-Fication Kit: A Simple & Elegant Way for Making any Codebase AI-native through Scaffolded, Human-verified Context and Development Loop.
npx -y skills add kunalsuri/ai-fication-kit --skill post-cold-start-verificationAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
One thing to look at
- 2 stars2 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.
What its author says it does
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Audit every ai/ file for gaps, stale placeholders, and inconsistencies after cold-start. Produces a prioritized findings report.
SKILL.md
1.9 KB, as published. Nobody here has run it
Audit the AI knowledge layer. Read-only with one exception: you may write ONE report.
Step 0 — use the mechanical verifier's output, don't redo its job
If ai/analysis/audit-reports/VERIFICATION_MANIFEST.json exists, read its summary
and the non-confirmed claims first: path-existence checking is already done
deterministically by the kit's verify command (run from the kit checkout:
node install.mjs verify <repo> — no LLM
involved, so its statuses are facts). Spend your pass on what a script cannot
judge (checks 1, 3, 4 below, and the semantic half of check 2). If the manifest
is absent or older than the docs it covers, recommend regenerating it in your
report instead of re-deriving path checks by hand.
Checks
- Placeholders: find every
<fill in>,?Stability, and{{...}}leftover acrossai/and the entry files (CLAUDE.md, AGENTS.md). - Internal consistency: every path mentioned in
ai/guide/*exists on disk (covered by the manifest when present — see Step 0); MODULE_MAP rows correspond to real directories; FEATURE_MAP entries point at real files; diagrams name real modules. - Profile consistency: build/test commands in CLAUDE.md/AGENTS.md match
ai/repo-profile.json; flag divergence (don't silently fix). - Provenance hygiene: no
[verified]tag lacking a date; nothing you can tell was agent-written carrying[verified].
Output
Write ai/analysis/audit-reports/<YYYY-MM-DD>-post-cold-start.md: findings grouped
P1 (agent-blocking) / P2 (misleading) / P3 (cosmetic), each with location and a
one-line suggested fix. Tag the report itself [inferred]. Do not modify the files
you are auditing.