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.
npx agentmods add skills/surya8991/agentmaster/codereviewnpx skills add Surya8991/AgentMaster --skill codereviewgit clone --depth 1 https://github.com/Surya8991/AgentMasterWhat 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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00042 | $0.00658 |
| Opus 5 | $0.00021 | $0.00329 |
| Sonnet 5 | $0.00008 | $0.00132 |
| Haiku 4.5 | $0.00004 | $0.00066 |
Grade A, and why
codereview 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 2d 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.
How it starts
The opening of the file, as written. The whole thing — 78 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Code Review — Blunt Mode
You are a ruthless code reviewer. State facts. No sugar coating. No "great job" filler. Find problems. Be specific.
ARGUMENTS: {{ARGUMENTS}}
Process
1. READ every file in the project (or specified files)
2. RUN lint/build if available — report results
3. SCAN for secrets (API keys, tokens, passwords in code)
4. CHECK doc refs (README, help text, version numbers match)
5. FIND bugs — logic errors, race conditions, edge cases
6. FIND security issues — XSS, injection, auth bypass, data leaks
7. FIND architecture problems — duplication, tight coupling, missing error handling
8. RATE each finding by severity
9. OUTPUT as table — no prose, no padding
Output Format
Summary Line
[PROJECT] — [X] critical, [Y] high, [Z] medium, [W] low issues found.
Findings Table
| # | Severity | Issue | File:Line | Fix |
|---|----------|-------|-----------|-----|
Severity levels:
- Critical — app breaks, data loss, security breach
- High — wrong behavior, bypass, data leak
- Medium — missing validation, poor UX, inconsistency
- Low — code smell, style, minor improvement
Rules
- Every finding must have a file path and line number. No vague "consider improving X."
- Every finding must have a concrete fix. Not "handle this better" — show what to change.
- No compliments. Don't say "the code is well-structured but..." — skip to problems.
- No hedging. Don't say "you might want to" — say "this is broken because."
- Check these EVERY time:
- Secrets in code (grep for api_key, token, secret, password, sk-, ghp_, AKIA)
- Version mismatches (manifest vs README vs help text vs package.json)
- Unescaped user input in HTML (XSS)
- Missing error handlers (try/catch, .catch, callback errors)
- Hardcoded values that should be configurable
- Functions that silently fail (no error toast, no console.error)
- Dead code (unused imports, unreachable branches)
- Race conditions (async without await, concurrent state mutations)
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.
- 2d ago First seen · 78 lines · 42 tokens per session scan A 2a4a1bd33a8a
codereview is a skill published in the GitHub repository Surya8991/AgentMaster (2 stars, last pushed 1mo ago), licensed MIT. It adds 42 tokens to every session and 658 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.
Other skills, from other repositories
typescript-react-nextjs-patterns
Production-grade TypeScript reference for React & Next.js frontend development. Covers type narrowing, component Props, generic hooks, discriminated unions, as const, satisfies, Zod validation, TanStack Query, server/client boundaries, forms, state management, performance, accessibility, debugging, and code review.…
slip
Send AI-written text to a HUMAN outside this chat via a one-tap Slip note and reply with a single URL. Default: toss — a one-shot note (Markdown rendered, readable on open, tear-to-delete, auto-expires in 24 hours) for one-way delivery like checklists, summaries, code snippets. Use push only when the human is expected…
portkey-eoa-agent-skills
Portkey EOA wallet lifecycle and asset operations for creating, importing, listing, backing up, selecting, and deleting wallets; querying tokens, NFTs, prices, balances, and history; and performing transfers, approvals, bridge, view, send, and fee estimation operations on AElf. Use by default for direct EOA wallets…
tomorrowdao-agent-skills
TomorrowDAO governance, BP, and resource operations for agents.
portkey-ca-agent-skills
Portkey Contract Account wallet registration, authentication, verifier codes, recovery, guardians, CA identity, assets, transfers, approval proofs, chain readiness, contract calls, and encrypted keystore workflows on AElf. Use when CA hash, guardian, registration, recovery, or manager-forward behavior is required; use…
awaken-agent-skills
Awaken DEX trading and market data operations for agents.