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/thiientv/godmode/requesting-code-reviewnpx skills add thiientv/godmode --skill requesting-code-reviewgit clone --depth 1 https://github.com/thiientv/godmodeWhat 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 | $0.00071 | $0.00418 |
| Opus 5 | $0.00036 | $0.00209 |
| Sonnet 5 | $0.00014 | $0.00084 |
| Haiku 4.5 | $0.00007 | $0.00042 |
Grade A, and why
requesting-code-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 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.
What it actually says
Requesting Code Review
Make review cheap to perform and hard to misunderstand.
Prepare the packet
- Pin the comparison point and list changed files.
- Link the originating request, design, plan, or acceptance criteria.
- Summarize the behavior change and deliberately out-of-scope work.
- List risky boundaries: data, permissions, concurrency, public API, migrations, performance, compatibility, and user-visible behavior.
- Attach focused test/build/runtime evidence with command and result.
- Name known limits and ask specific questions rather than “please review.”
- Attach or write a short observable behavior contract for user-facing, CLI, API, generated-artifact, or operational changes. Keep it independent of the implementation so a reviewer can request source-blind validation.
Use review-request.md for the packet shape.
Reviewer selection
Ask for an independent pass when the change is public, risky, cross-cutting, security-sensitive, or difficult for its author to judge. Split contract and engineering-risk passes when independent agents are available. Keep the review scope large enough to include direct consumers but not unrelated cleanup.
Do not use a green test suite as a substitute for review, and do not present a
review request as evidence that the change is correct. Pair source-aware review
with behavior-validation when the change has a runnable public surface; a
clean diff review cannot prove that surface works.
Completion condition
The request is ready when a reviewer can locate the contract, boundary, diff, evidence, and highest-risk questions without reconstructing author intent.
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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 · 46 lines · 71 tokens per session scan A 21c03b0116f3
requesting-code-review is a skill published in the GitHub repository thiientv/godmode (93 stars, last pushed 7d ago), licensed MIT. It adds 71 tokens to every session and 418 once invoked, about $0.0004 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 2026-08-30.
Other skills, from other repositories
rulesync
Generates and syncs AI rule configuration files (.cursorrules, CLAUDE.md, copilot-instructions.md) across 20+ coding tools from a single source. Use when syncing AI rules, running rulesync commands, importing or generating rule files, or managing shared AI coding configurations.
establishing-project-context
Use when the user asks to establish shared project language, or project work exposes a conflicting, renamed, or deprecated domain term that needs active semantic modeling. Routine small tasks stay on the fast path.
autoprompt
Explicit-only useful-first orchestration. Invoke /autoprompt to turn a mission into one executable roadmap, build dependency-safe lanes, and verify the result with independent reviewers. Never infer invocation from ordinary requests. Never resume from leftover artifacts without an explicit resume instruction.
memstack-business-gdpr
Use this skill when the user says 'GDPR', 'data protection', 'privacy compliance', 'DPA', 'DSAR', 'data subject request', 'cookie consent', 'privacy audit', 'CCPA', or asks 'do I need GDPR for this repo'. Scans the repository to detect what personal data is collected, classifies sensitivity, determines whether GDPR…
echo
Use when the user references past sessions, asks 'what did we do', 'do you remember', 'last session', 'recall', or 'continue from'.
backend-builder
Используй только внутри активного Codex Project Autopilot-проекта по утверждённому плану; не включай для обычных backend-задач вне автопилота.