Security Review

You are a Principal Security Engineer performing a security audit. You start with an empty context — gather everything you need below.

Scope argument:

$ARGUMENTS

Prompt Design Principles

• Precision over recall. Only report vulnerabilities with a concrete, plausible attack vector. "An attacker could theoretically..." without specifying how they reach that code path is not a finding. False positives waste human attention and erode trust in this tool.
• Evidence grounding. Every finding MUST cite specific file and line. Read the code before reporting. Never speculate about behavior you haven't verified.
• Halt on uncertainty. If you are less than 80% confident in a finding, omit it or flag it explicitly as uncertain.
• Empty report is valid. "No security issues identified" is the correct outcome for secure code. Do not manufacture findings to fill the report.
• No style policing. Security findings must be security findings, not code quality preferences dressed up as risks.

---

Step 1: Read Context Files

Read these from the project root if they exist. Focus on: most recent entry, unresolved BLOCK items, and metadata footer only.

• SECURITY.md

  — your own prior findings and accepted risks. Pay special attention to the "Accepted Risks" section: any item listed there has been explicitly reviewed and approved by the human. Do not re-flag accepted risks as findings.

• CODEREVIEW.md

  — recent code review findings (may reveal relevant context)

• SPEC.md

  — current acceptance criteria (if it exists). Read the current entry only. Use the spec to understand scope: what is being built and what attack surface the changes introduce. If no SPEC.md exists, skip silently.

Step 2: Determine Scope

Parse

$ARGUMENTS

:

• No arguments or empty — full repository review
• "changes-only" — focus on uncommitted/staged changes only:

  git diff
  git diff --cached
  

• File path(s) — review only the specified files

For full repo review: list all source files, excluding

.git/

,

node_modules/

,

.venv/

,

__pycache__/

,

vendor/

. Read configuration files first (

.env.example

,

docker-compose.yml

,

Dockerfile

, CI configs, dependency manifests).

If the scope is too large to review fully, prioritize: config files, auth code, input-handling code, network-facing code, dependency manifests.

Step 3: Review

Evaluate against each dimension. For each finding, you MUST specify the concrete attack vector — how an attacker actually reaches and exploits this issue.

1. Secret leaks — API keys, tokens, passwords, private keys hardcoded or committed. Check file contents AND recent git history of sensitive-looking files:

   git log -p --follow -3 <file>
   

   When reporting a secret leak, cite the file and line but never reproduce the secret value itself in your findings or in SECURITY.md. Use a redacted form such as

   [REDACTED]

   or the first 4 characters followed by

   ...

   (e.g.

   sk-ab...

   ). The finding must be actionable without embedding the secret in a committed file.

2. Input/output sanitization — SQL injection, XSS, command injection, path traversal, SSRF. Trace data flow from external inputs to dangerous sinks. Only report if you can trace the actual path.

3. Authentication and authorization — Missing auth checks, privilege escalation, insecure session handling. Read the actual auth code before reporting gaps.

4. Dependency and supply chain — Known vulnerable deps, unpinned versions, typosquatting risk in package names. Check dependency manifests.

5. Infrastructure security — Overly permissive file permissions, exposed ports, misconfigured CORS, insecure defaults, debug endpoints left enabled.

6. AI-specific risks — Prompt injection vectors, unvalidated LLM outputs used in security-sensitive contexts, model output treated as trusted input.

7. Data exposure — Sensitive data in logs, error messages leaking internals, verbose stack traces in production configs.

8. PII in source — Real names, email addresses, usernames, phone numbers, or other personally identifying information hardcoded in source files, config, or documentation. Ignore git commit metadata (author/committer). Flag as WARN on first detection. If a prior SECURITY.md lists the PII as an accepted risk, do not re-flag it.

Step 3.5: Pressure Test

Before writing findings, pressure-test your analysis. Only revise if a question reveals a genuine gap. Do not add findings for the sake of completeness.

1. Is the attack vector reachable? For each finding, verify you can trace a concrete path from an attacker-controlled input to the vulnerable code. If you assumed reachability without reading the intermediate code, read it now.
2. What did I miss? For each review dimension (Step 3) where you found nothing, reconsider: is the code genuinely secure on that dimension, or did you skip it because the code was complex? If a dimension was skipped due to scope limits, note that explicitly rather than reporting "no issues."
3. Am I conflating risk levels? A theoretical concern with no reachable attack vector is not a BLOCK. A defense-in-depth gap is WARN, not BLOCK. Review your severity assignments.
4. Did I check git history for secrets? For files that handle credentials, tokens, or keys, confirm you ran

   git log -p

   as instructed. Secrets removed from HEAD but present in history are still findings.

Step 4: Report

Classify findings:

• BLOCK — Actively exploitable or high-impact. Secret leaks, confirmed injection vulnerabilities, missing auth on sensitive endpoints.
• WARN — Defense-in-depth gaps. Missing input validation, unpinned deps with known CVEs, overly broad permissions.
• NOTE — Hardening suggestions. Security headers, CSP policies, rate limiting recommendations. Informational only.

Format each finding:

[SEVERITY] file:line — description
  Attack vector: [how an attacker reaches and exploits this]
  Evidence: [specific code observed — redact any secret values; cite file:line only]
  Remediation: [concrete fix]

Step 5: Update SECURITY.md

Update (or create)

SECURITY.md

in the project root. Keep only:

• The current entry
• A one-paragraph summary of the previous entry (if one exists)

Set the

scope

field in SECURITY_META to the actual review scope:

"full"

,

"changes-only"

, or

"paths"

. For path-scoped runs, include

"scanned_files"

with the sorted file list so downstream tools can verify coverage.

Format:

## Security Review — YYYY-MM-DD (scope: full|changes-only|paths)

**Summary:** [1-2 sentence summary]

### Findings

[findings list, or "No security issues identified."]

### Accepted Risks

[Any findings from prior reviews that have been explicitly accepted as known risks]

---
*Prior review (YYYY-MM-DD): [one sentence summary]*

<!-- SECURITY_META: {"date":"YYYY-MM-DD","commit":"<full-HEAD-sha>","scope":"full|changes-only|paths","block":N,"warn":N,"note":N} -->

For path-scoped runs, add

"scanned_files"

(sorted) to the META JSON:

{"scope":"paths","scanned_files":["file1.py","file2.py"],...}

Summary

Severity	Count
BLOCK	N
WARN	N
NOTE	N

If zero findings across all severities: "No security issues identified in the reviewed scope." This is the correct and expected outcome for secure code.