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iktok90-designiktok90-design/ai-smart-contract-auditor/skills/caching-and-incremental/SKILL.md

caching-and-incremental

Skill36 starsChanged 5 months agoMITView on GitHub

Always-on meta-skill — cache audit results per file by content hash so unchanged files aren't re-analyzed on subsequent runs. Activate on every /audit, /quick-scan, /audit-changes invocation.

The file

We split this skill into the rules it gives an agent

3 rules. About 0 are common, 1 is distinctive, and 2 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈1

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 2

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Very specific:

    Look up manifest[F] → cached_hash.

    line 29
  2. Very specific:

    Verify skill-versions matches current skill set.

    line 32
  3. Distinctive:

    If both match: return cached findings, mark file as cached in output.

    line 33

≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

Caching & incremental audit (meta-skill)

The first audit of a 50K-line codebase is slow. The second one shouldn't be. This skill governs cache reuse.

Cache layout

~/.cache/auditsentry/<repo-fingerprint>/

findings/
  <sha256(file-content)>.json    # findings for that exact file content
  <sha256>.skill-versions        # skill names + versions used to produce findings
manifest.json                     # mapping file-path → current sha256

Repo fingerprint = sha256 of the absolute repo root path (so different checkouts don't collide).

Procedure (per file F to audit)

Step 1 — Compute current hash

current_hash = sha256(read F)

Step 2 — Check manifest

  • Look up manifest[F] → cached_hash.
  • If cached_hash == current_hash:
    • Load findings/<current_hash>.json.
    • Verify skill-versions matches current skill set.
    • If both match: return cached findings, mark file as cached in output.
  • Otherwise → audit fresh and write to cache.

Step 3 — Write fresh result

After audit completes:

  • write findings/<current_hash>.json
  • Update manifest[F] = current_hash

Step 4 — Garbage collect

Periodically (e.g. weekly): drop findings/*.json not referenced from any current manifest.

Invalidation triggers

Re-audit even if hash matches when:

  • The list of active skills has changed since the cached result
  • A new vulnerability skill was added that may apply
  • User passes --no-cache or --rerun
  • .auditsentry.yml config has changed (different severity threshold, profile, etc.)

Cache disable

  • RUGPROOF_NO_CACHE=1 env var
  • cache: false in .auditsentry.yml
  • --no-cache flag on any audit command
  • RUGPROOF_OFFLINE=1 does NOT disable the local cache (it's still local I/O)
  • RUGPROOF_PRIVACY=1 writes cache only to a temp dir that's wiped on exit

Output

In the audit summary, show:

Cache:    27 files cached (78%) · 8 files re-analyzed
Speedup:  ~6.4× vs cold run

This builds trust that the cache is doing real work.

When NOT to cache

  • /audit-deep — too thorough; user wants fresh
  • /audit-strict — same reason
  • /audit-live — fork state changes; never cache
  • /exploit* — exploit attempts must run fresh

Related

  • [[false-positive-feedback-loop]] — dismissals are a separate cache
  • [[multi-pass-self-critique]] — strict mode bypasses cache
  • /audit, /quick-scan, /audit-changes — main consumers

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Your trail

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