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 skills add duc01226/EasyPlatform --skill code-quality-reviewgit clone --depth 1 https://github.com/duc01226/EasyPlatformWrote 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.
[](https://agentmods.dev/skills/duc01226/easyplatform/code-quality-review)<a href="https://agentmods.dev/skills/duc01226/easyplatform/code-quality-review"><img src="https://agentmods.dev/badge/skills/duc01226/easyplatform/code-quality-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.
<a href="https://agentmods.dev/skills/duc01226/easyplatform/code-quality-review"><img src="https://agentmods.dev/badge/skills/duc01226/easyplatform/code-quality-review.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00039 | $0.13677 |
| Opus 5.5 | $0.00016 | $0.05471 |
| Sonnet 5.5 | $0.00008 | $0.02735 |
| Haiku 4.5 | $0.00004 | $0.01368 |
Grade A, and why
code-quality-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 3d 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 — 743 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Codex compatibility note:
- Invoke
$skill-name: load the registered.agents/skills/<name>/SKILL.mdand execute it with Codex tools; no separateSkilltool or Claude mode switch is needed. Author.claude/**; mirrors are generated.- Track steps before execution and keep progress/evidence current. Explicit skill requests execute their protocol. Use the native question tool for required questions.
- Map foreign tool names to available host capabilities. A name mismatch needs no approval; an actually unavailable required capability stops with its step/evidence and a user question before adaptation.
- Subagent authorization: when a skill is user-invoked or AI-detected and its protocol requires subagents, that skill activation authorizes use of the required
spawn_agentsubagent(s) for that task.- Preserve protocol order unless the user approves a deviation. Workflows use
$start-workflow: gates stay fixed; other steps may flex with logged reasons and evidence.
[BLOCKING] Execute skill steps in declared order. NEVER skip, reorder, or merge steps without explicit user approval. Inside a workflow run,
$start-workflow→ Workflow-step mode bounds this rule. [BLOCKING] Before each step or sub-skill call, update todo tracking: setin_progresswhen step starts, setcompletedwhen step ends. [BLOCKING] Every completed/skipped step MUST include brief evidence or explicit skip reason. [BLOCKING] If Task tools are unavailable, create and maintain an equivalent step-by-step plan tracker with the same status transitions.
Quick Summary
Review modes: For review/audit work, standalone defaults to
--review-only(--report-onlyalias);--fix-loopenables review → validate → authorized fix → fresh re-review, default cap 3.--fix-loop --loop-owner=callerreturns a read-only pass to the caller that owns fixes/re-review. Create triage, review, validation and re-review todo tasks first; apply the carriedreview-policycontract for LOW deferral and user-approved bounded extensions. Non-review modes and terminal findings validation keep their own dispatch.
Goal: Verify feedback, request targeted code-reviewer reviews, and gate completion claims so accepted code is correct, easy to change and convention-aligned.
Summary:
- Evaluate feedback, review named code, or verify completion; current/branch diffs route to
changes-review. Prepared inputs establish scope, never acceptance. - Create report → assess blast radius and full-pipeline impact → detect risks, plan compliance and surfaces → review each file → holistic assessment → final result → validate findings → fix validated blockers → full re-review after fixes.
- Direct named-code reviews resolve the requested files and applicable rules, including a conditional domain entity quality task for new or updated entities. Feedback evaluation uses the supplied evidence. Trace consumers/dependents and tests; cite
file:linebefore acceptance. - Round 1 closes every validated severity; from round 2 CRITICAL/HIGH/MEDIUM block and LOW-only defers. Failed binary gates always block; retain the shared LOW deferral and fresh post-fix evidence rule.
Routing boundary: If the user asks to review current changes, uncommitted work, staged/unstaged diffs, or a branch-to-branch diff, use
changes-reviewinstead.
Dispatched as a leaf reviewer (a sub-agent whose brief assigns your scope): review exactly that scope with every review rule in this skill and return the report. Batching, fan-out, validation passes, the fix loop, re-review rounds, user questions and next steps belong to your caller — except the in-batch
$why-review --validate-findingsover your own report that a batch brief explicitly assigns under the shared adaptive review plan, which you run and record asvalidated: in-batch. When the scope is too large to review well, say so in your return instead of sampling or spawning reviewers.
What ships with it
3 files 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.
- 3d ago First seen · 743 lines · 39 tokens per session scan A 2d23589492e1
code-quality-review is a skill published in the GitHub repository duc01226/EasyPlatform (12 stars, last pushed yesterday), licensed MIT. It adds 39 tokens to every session and 13,677 once invoked, about $0.0002 per session on Opus 5.5. 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 2026-10-18.
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