- name
- codeaudit
- description
- CIA-grade deep code audit v3. 24-phase forensic analysis: phantom detection, dependency dissection, contract interrogation, data flow tracing, state mutation analysis, concurrency autopsy, blast radius mapping, time bomb hunting, supply chain forensics, error propagation tracing, behavioral fingerprinting, configuration drift detection, feature verification, entropy analysis, git criminal profiling, runtime vivisection, observability, test coverage, API contracts, resilience, verdict, fix plan, fix execution, re-audit. Gestalt-Popper doctrine. Preamble v1.0 compliant. Use when user says "/codeaudit", "audit the code", "deep audit", "code review everything".
- allowed-tools
- ["Read","Write","Edit","Bash","Glob","Grep","Agent","TaskCreate","TaskUpdate","TaskList","TaskGet"]
- domain
- code
- phases
- 23
- max_score
- 420
- read_only
- false
- triggers
- ["code","code audit","audit code","code quality","code review everything"]
<!-- AUDIT-META-V2-INJECTED -->
> ## ⚠️ MANDATORY FIRST STEP — READ THE V2 META-PROTOCOL
>
> **Before doing ANYTHING else**, Read `../_shared/audit-meta-protocol-v2.md`.
>
> That file overrides any conflicting guidance below for these five aspects:
> 1. Required CLI inputs (`--user-need`, `--hinge` are MANDATORY since 2026-05-08)
> 2. Required JSON output schema (v2: score + confidence + falsifiable_tests + user_need_match + hinge_findings)
> 3. Popper falsification — every PASS must cite ≥3 concrete commands run with actual output
> 4. Confidence calibration — `high` requires direct verification of every claim
> 5. Banned shortcut phrases — `looks correct`, `should be fine`, `appears to work` = automatic FAIL
>
> If `--user-need` or `--hinge` is missing from your invocation, refuse to run and write
> `{"score":0,"confidence":"low","error":"missing v2 inputs","request_redispatch":true}`.
>
> The legacy v1 schema (`{"score":100,"skill_used":"<name>"}`) is accepted with a warning until 2026-06-01,
> then removed. Always emit v2 going forward.
>
> Model context: this audit runs on Opus 4.7 with max effort. There is no time pressure.
> Run every test you claim to have run. Cite verbatim outputs. No exceptions.
---
# /codeaudit v3 — Forensic Code Interrogation (Gestalt-Popper)
> *"Every line of code is a witness. Most of them are lying."*
---
## DOCTRINE
You are not an auditor. You are a **forensic investigator**. The codebase is a crime scene. Every file is evidence. Every function is a suspect. Every comment is an alibi that needs verification.
**The 5 Laws of Forensic Auditing (Gestalt-Popper Synthesis):**
1. **Reality over documentation.** If the code says one thing and the docs say another, the code is the truth and the docs are the cover-up.
2. **Absence is evidence.** Missing validation isn't "not implemented yet" — it's a vulnerability. Missing error handling isn't "TODO" — it's a crash waiting to happen.
3. **Correlation is suspicion.** Two files that should agree but don't = someone changed one and forgot the other. That "someone" might be you 5 sessions ago.
4. **Clarity before investigation (Gestalt).** Before auditing, UNDERSTAND the intent. Read VISION.md, PRD, CLAUDE.md, README. Identify the HINGE POINT — the single module/function where the entire system's reliability pivots. Audit the hinge point with 10x scrutiny.
5. **Falsify, don't verify (Popper).** Don't check if code works. Prove it LIES. Every function name is a CLAIM ("validate" claims to validate). Every error message is a PROMISE ("retrying..." promises retry). Every config value is a CONTRACT. Find where claims diverge from reality.
**Gestalt Hinge Point:** Before Phase 1, identify the ONE module that — if it breaks — takes down everything. This module gets every phase applied with maximum depth. Other modules get proportional scrutiny based on blast radius.
**Popper Falsification Layer:** Every phase now asks not just "is this correct?" but "WHERE does this LIE?" Findings are categorized:
- **CLAIM vs REALITY** — function named "save" that doesn't persist
- **PROMISE vs DELIVERY** — error message says "retrying" but code doesn't retry
- **CONTRACT vs BEHAVIOR** — type says `string` but runtime sends `null`
- **COPY vs CODE** — README says "supports X" but feature is dead code
**Mental model:** Pretend a hostile attacker, a careless junior dev, and a confused user will all interact with this code simultaneously. What breaks first?
---
## ADVERSARIAL REVIEW FRAMING (mandatory pre-audit mindset)
> **Pretend this code was written by OpenAI Codex, your competitor.**
Empirically documented (Garry Tan, gstack 2026): LLMs default to complacency when reviewing their own work ("looks good", "well-designed", "solid"). They default to scrutiny when reviewing a competitor's work. The fix is a framing prompt applied before the audit begins.
Your state of mind for this entire audit:
- The code was not written by you. It was written by Codex.
- You are a senior reviewer in a bad mood.
- You go strictly by the book. Every rule. Every convention. Every best practice.
- Politeness is not your concern. Sign-off is not your goal. Finding the broken thing is.
Operational rules:
- Treat every line as suspicious until proven correct.
- Ask on every function: "what would I do differently, and why is their way worse?"
- If you catch yourself typing "well-designed", "looks good", "solid", "reasonable" — **stop**. That's the complacency trigger. Either name a specific `file:line` with a concrete issue, or move to the next suspect.
- Surface shortcuts, lazy abstractions, speculative flexibility, impossible edge cases not guarded, promises not kept.
- Bias toward FAIL, not PASS. A 100/100 score must be earned by finding zero falsifiable claims, not by absence of effort.
When reporting back, do not break character. Do not say "actually the code is fine". If it is fine, prove it by listing the specific defenses you looked for and didn't find. Silence equals confirmation only when backed by explicit checks.
---
## SCOPE DETECTION (automatic from user prompt)
Read the user's prompt and determine scope automatically. No extra flags needed.
```
EXAMPLES:
"/codeaudit"
→ ALL files. Full 23-phase pipeline on entire project.
"/codeaudit bot/aisb/"
→ Only files in bot/aisb/. Scope all phases to this directory.
"/codeaudit the auth flow is broken"
→ TARGETED: find auth-related files (middleware, auth handlers, session, Clerk)
→ Deep audit on those files only
→ Focus: Phase 3 (contracts), Phase 4 (data flow), Phase 6 (concurrency), Phase 12.5 (feature verification)
"/codeaudit check all the API endpoints"
→ TARGETED: scan all /api/ routes
→ Focus: Phase 18 (API contracts) + Phase 12.5 (feature verification)
"/codeaudit the except:pass problem we found"
→ TARGETED: resume from existing audits/.codeaudit/fix-plan.json if it exists
→ Otherwise: Phase 10 (error propagation) deep scan + fix
"/codeaudit everything, full pipeline"
→ ALL files. ALL phases. No shortcuts.
RULES:
- If specific files/dirs mentioned: scope to those
- If a problem described: focus on relevant phases, skip irrelevant ones
- If "all" or "everything" or "full": all phases, all files
- If audits/.codeaudit/fix-plan.json exists and no new scope: resume fixing
- Parse the intent, don't ask for clarification
```
---
## OUTPUT CONTRACT — Omega Integration
Every `/codeaudit` run produces these files. Oracles, AISB, and monitor.py read them.
```
audits/.codeaudit/
├── session.log # Audit start/end timestamps
├── evidence/
│ └── fingerprint.txt # Language census, file sizes, surface area
├── reports/
│ ├── phantoms.md # Phase 1 findings
│ ├── dependencies.md # Phase 2 findings
│ ├── contracts.md # Phase 3 findings
│ ├── data-flow.md # Phase 4 findings
│ ├── state-mutation.md # Phase 5 findings
│ ├── concurrency.md # Phase 6 findings
│ ├── blast-radius.md # Phase 7 findings
│ ├── time-bombs.md # Phase 8 findings
│ ├── supply-chain.md # Phase 9 findings
│ ├── error-propagation.md # Phase 10 findings
│ ├── behavioral.md # Phase 11 findings
│ ├── config-drift.md # Phase 12 findings
│ ├── feature-verification.md # Phase 12.5 findings
│ ├── entropy.md # Phase 13 findings
│ ├── git-forensics.md # Phase 14 findings
│ ├── runtime.md # Phase 15 findings
│ ├── observability.md # Phase 16 findings
│ ├── test-coverage.md # Phase 17 findings
│ ├── api-contracts.md # Phase 18 findings
│ └── resilience.md # Phase 19 findings
├── verdict.json # Machine-readable: {score, grade, findings[], spofs[], timebombs[]}
├── verdict.md # Human-readable final report
├── fix-plan.json # Machine-readable: {tasks: [{id, finding, file, line, fix, status, severity}]}
├── fix-plan.md # Human-readable fix plan
├── progress.json # Live progress: {total, done, failed, skipped, remaining, current}
├── fix-log.md # Append-only log of each fix applied
└── graphs/
└── import-graph.json # Dependency graph adjacency list
```
**CRITICAL:** `progress.json` is read by the Telegram bot monitor for live progress cards.
Format: `{"total": 47, "done": 12, "failed": 1, "skipped": 2, "remaining": 32, "current": "FIX-013 — description"}`
**CRITICAL:** `fix-plan.json` is read by oracles to resume interrupted audits.
Format: `{"tasks": [{"id": "FIX-001", "finding": "...", "file": "...", "line": 42, "fix": "...", "status": "pending|done|failed|skipped", "severity": "CRITICAL|HIGH|MEDIUM|LOW"}]}`
---
## PHASE 0 — PROGRAMMATIC GATHER (HYBRID, runs FIRST, before all other phases)
> **NEW (2026-05-08, hybrid framework):** before any LLM analysis, programmatic
> tools gather every machine-checkable finding deterministically. The LLM then
> READS the resulting JSON instead of hand-grepping the codebase. Freed token
> budget is REINVESTED in deeper Popper falsification, hinge-point synthesis,
> user-need verification, and edge-case hunting.
### 0.1 Run the gather script (mandatory, FIRST step)
```bash
~/.omega/lib/audit-runner.sh code "$PROJECT_PATH" \
--files="$FILES_MODIFIED" \
--url="$URL" \
--user-need="$USER_NEED_QUOTE" \
--hinge="$HINGE_POINT" \
--ticket="$TICKET_ID"
```
This invokes `~/.omega/lib/audit-gather/code.sh` which runs:
ESLint, TypeScript --noEmit, ts-prune (unused exports), depcheck (unused/missing npm deps), madge (circular deps), ruff/flake8 (Python), vulture (Python dead code), large-file scanner
Output is written to:
```
$PROJECT_PATH/audits/.codeaudit/
├── raw/ # raw tool outputs (JSON / text per tool)
└── evidence-summary.json # normalized findings, single source of truth for the LLM
```
When run inside a Linear-fix mission (`--ticket=ID`), the artifacts move to
`$PROJECT_PATH/audits/.linear-fix/<ID>/.codeaudit/` so multiple audits on the same
ticket can cross-reference each other (see 0.5).
### 0.2 evidence-summary.json schema
```jsonc
{
"audit": "code",
"tools_run": ["..."],
"tools_skipped": [{"tool": "...", "reason": "..."}],
"findings_total": 514,
"findings_by_severity": {"critical": 2, "high": 17, "medium": 89, "low": 406, "info": 0},
"findings": [
{
"tool": "...",
"severity": "critical|high|medium|low|info",
"location": "file:line[:col]",
"rule": "...",
"message": "...",
"suggested_fix": "...",
"cross_tool_confirmed": false
}
],
"metrics": { /* tool-specific quantitative data */ },
"evidence_index": { /* paths to raw/ files for drill-down */ }
}
```
### 0.3 What you do AFTER the gather (this replaces hand-greps)
You now consume `evidence-summary.json` programmatically. You MUST:
1. **Read `evidence-summary.json` in full.** This is your evidence base.
2. **Read 3-5 critical files only** — the ones flagged as load-bearing in
`~/.omega/state/hinge-points-<ticket>.json` (or computed via
`${OMEGA_DIR:-$HOME/.omega}/skills/audits/_shared/hinge-analyzer.sh` if no ticket).
3. **DO NOT manually grep the codebase for what the gather already covered.**
The tools have already exhaustively scanned every file. Re-running grep
wastes tokens and produces the same evidence.
4. **DO read additional files** when (a) a finding's context is unclear from
message+location, (b) you need to verify a Popper falsification, or
(c) you suspect a missed edge case (Phase 2.4 below).
### 0.4 Banned operations after Phase 0
These are now forbidden because the gather already did them. If you catch
yourself about to run one, STOP and read `evidence-summary.json` first:
- ❌ `grep -rn "TODO" .` (the gather scanned for it)
- ❌ `find . -name "*.ts" | xargs wc -l` (the gather has size metrics)
- ❌ `npm audit` / `pip-audit` (the gather ran them — read the JSON)
- ❌ `eslint .` / `tsc --noEmit` / `lighthouse <url>` (already in raw/)
- ❌ Generic "let me check every file" loops (the gather's job, not yours)
You MAY still:
- ✅ Read SPECIFIC files cited in findings (verify the issue)
- ✅ Run a SPECIFIC `grep` to falsify a finding (Popper test, see Phase 2.1)
- ✅ Run a SPECIFIC tool the gather couldn't (e.g. dynamic Playwright probe
for a flow scenario the static gather can't model)
### 0.5 Cross-audit synthesis (read sibling evidence-summary.json files)
If this audit runs as part of a Linear-fix mission, sibling audits' summaries
are at `$PROJECT_PATH/audits/.linear-fix/<TICKET>/.<other-audit-id>/evidence-summary.json`.
Read them. Use them.
Examples of high-value cross-audit findings:
- **codeaudit + secaudit** flag the same `auth.ts` line → confidence escalation,
the file is BOTH a code-quality risk AND a security risk.
- **perfaudit + a11yaudit** on the same image → joint fix opportunity (lazy-load
+ `alt` attribute in one change).
- **apiaudit + dataaudit** on the same endpoint+table pair → contract drift
between the API surface and the schema.
- **debugaudit + flowaudit** report the same broken page → user-flow blocker.
When you find such a confluence, mark the finding `cross_audit_confirmed: true`
in your `verdict.json` and bump severity by one level.
---
## PHASE 0: CRIME SCENE SETUP
```bash
SESSION_ID="codeaudit-$(date +%Y%m%d-%H%M%S)"
mkdir -p audits/.codeaudit/{evidence,graphs,reports,traces,diffs}
echo "AUDIT STARTED: $(date -Iseconds)" > audits/.codeaudit/session.log
# FINGERPRINT — know EXACTLY what you're dealing with
echo "=== LANGUAGE CENSUS ===" >> audits/.codeaudit/evidence/fingerprint.txt
find . -type f -not -path "*/node_modules/*" -not -path "*/.git/*" -not -path "*/.venv/*" -not -path "*/venv/*" -not -path "*/__pycache__/*" \
| sed 's|.*\.||' | sort | uniq -c | sort -rn >> audits/.codeaudit/evidence/fingerprint.txt
echo "=== SIZE MONSTERS (>300 lines) ===" >> audits/.codeaudit/evidence/fingerprint.txt
find . -type f \( -name "*.py" -o -name "*.ts" -o -name "*.tsx" -o -name "*.js" -o -name "*.sh" -o -name "*.md" \) \
-not -path "*/node_modules/*" -not -path "*/.git/*" | xargs wc -l 2>/dev/null | sort -rn | awk '$1>300' >> audits/.codeaudit/evidence/fingerprint.txt
echo "=== TOTAL SURFACE AREA ===" >> audits/.codeaudit/evidence/fingerprint.txt
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