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risky-module-review

risky-module-review is a skill for Claude Code, Codex from strikersam/autonomous-ai-agency. It costs 45 tokens per session (890 once invoked), scanned A, original, MIT.

A mandatory deep-review process for changes to security-sensitive files and authentication, session, or key-handling code. It provides file-specific checks for issues such as secret leaks, weak session handling, path traversal, and token-validation bypasses.

In plain words
What is it for?
Use it whenever modifying the listed authentication, key-storage, filesystem-write, proxy, or safety-guardrail modules, together with the relevant project instructions.
Why use it?
It focuses extra scrutiny on code where a small mistake could expose credentials, weaken access controls, or allow unsafe file operations.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: installed under .agents/ (shared by several agents); mentions AGENTS.md.

not rated 8repo today A scan SkillSpector: pass 45 tokens original MIT

Good fit Use it whenever modifying the listed authentication, key-storage, filesystem-write, proxy, or safety-guardrail modules, together with the relevant project instructions.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/strikersam/autonomous-ai-agency/risky-module-review
View source ↗ strikersam/autonomous-ai-agency autonomous-ai-agency.strikersam.workers.dev
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add strikersam/autonomous-ai-agency --skill risky-module-review
Clone the repo
git clone --depth 1 https://github.com/strikersam/autonomous-ai-agency

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for risky-module-review

README.md
[![agentmods](https://agentmods.dev/badge/skills/strikersam/autonomous-ai-agency/risky-module-review/github.svg)](https://agentmods.dev/skills/strikersam/autonomous-ai-agency/risky-module-review)
Your own site
<a href="https://agentmods.dev/skills/strikersam/autonomous-ai-agency/risky-module-review"><img src="https://agentmods.dev/badge/skills/strikersam/autonomous-ai-agency/risky-module-review/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for risky-module-review

Your own site · 80×15
<a href="https://agentmods.dev/skills/strikersam/autonomous-ai-agency/risky-module-review"><img src="https://agentmods.dev/badge/skills/strikersam/autonomous-ai-agency/risky-module-review.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 45 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 890 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00045 $0.00890
Opus 5 $0.00023 $0.00445
Sonnet 5 $0.00009 $0.00178
Haiku 4.5 $0.00005 $0.00089

Measured 12d ago against content hash b418e87314e0, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

risky-module-review scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

.agents/skills/risky-module-review/SKILL.md · 96 lines

How it starts

The opening of the file, as written. The whole thing — 96 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Skill: risky-module-review

Risky Modules in This Repo

File Risk What to check
admin_auth.py Session auth, admin identity No secret leaks, session fixation prevention, proper expiry
key_store.py API key persistence Keys hashed before storage, no plaintext in logs, file permissions
agent/tools.py Filesystem write surface Path traversal prevention, content sanitization
proxy.py (auth middleware) Bearer token validation No bypass paths, rate limit correctness
agent/loop.py (_local_safety_check) Security guardrail Not weakened or removed

Instructions

Step 1 — Read the module's AGENTS.md

  • agent/ → agent/AGENTS.md
  • router/ → router/AGENTS.md
  • No module AGENTS.md? Read the file header docstring carefully.

Step 2 — Checklist by module

admin_auth.py checklist
  • Admin password is read from environment — never hardcoded
  • Sessions expire (check max_age or SESSION_MAX_AGE)
  • AdminIdentity is validated before any state-mutating action
  • No print() or log.debug() exposes the admin password or session token
  • CSRF protection present for state-mutating routes
key_store.py checklist
  • API keys are stored hashed (SHA-256 or stronger) — never plaintext
  • keys.json is never committed (it is in .gitignore)
  • Key comparison uses constant-time comparison (hmac.compare_digest)
  • No key value appears in any log line
  • issue_new_api_key returns the plaintext key exactly once, immediately
agent/tools.py checklist
  • apply_diff resolves paths with Path.resolve() and validates they stay within self.root
  • No .. traversal path accepted without rejection
  • File content is not eval()-ed or exec()-ed
  • search_code does not expose .env or keys.json content
proxy.py auth middleware checklist
  • verify_api_key() cannot be bypassed by setting a header to empty string
  • Rate limit is per-key, not per-IP (IP can be spoofed)
  • VALID_API_KEYS from env is populated — empty set should reject all requests

Read the full file on GitHub · 96 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 12d ago First seen · 96 lines · 45 tokens per session scan A b418e87314e0

Subscribe to this mod's changes

risky-module-review is a skill published in the GitHub repository strikersam/autonomous-ai-agency (8 stars, last pushed today), licensed MIT. It adds 45 tokens to every session and 890 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

Code reviewSecurityagentic-aiai-agentsai-automationai-infrastructureollamaopenai-compatible
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