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 sfc-gh-myoung/ai_coding_rules --skill rule-reviewergit clone --depth 1 https://github.com/sfc-gh-myoung/ai_coding_rulesWrote 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/sfc-gh-myoung/ai_coding_rules/rule-reviewer)<a href="https://agentmods.dev/skills/sfc-gh-myoung/ai_coding_rules/rule-reviewer"><img src="https://agentmods.dev/badge/skills/sfc-gh-myoung/ai_coding_rules/rule-reviewer/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/sfc-gh-myoung/ai_coding_rules/rule-reviewer"><img src="https://agentmods.dev/badge/skills/sfc-gh-myoung/ai_coding_rules/rule-reviewer.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 | $0.00069 | $0.04604 |
| Opus 5 | $0.00034 | $0.02302 |
| Sonnet 5 | $0.00014 | $0.00921 |
| Haiku 4.5 | $0.00007 | $0.00460 |
Grade A, and why
rule-reviewer 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 11d 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 — 388 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Rule Reviewer
Purpose
Execute comprehensive agent-centric reviews evaluating whether autonomous agents can execute rules without judgment calls.
Use this skill when
- Reviewing rule files for agent executability (FULL mode)
- Auditing a specific dimension of a rule (FOCUSED mode)
- Checking rule staleness against the current codebase (STALENESS mode)
- Validating rule compliance with schema and conventions
- Scoring rule quality against the 6-dimension rubric
Quick Start
Use the rule-reviewer skill.
target_file: rules/200-python-core.md
review_date: 2026-01-06
review_mode: FULL
model: claude-sonnet-45
Output: reviews/rule-reviews/200-python-core-claude-sonnet-45-2026-01-06.md
(With output_root: mytest/ → mytest/rule-reviews/200-python-core-claude-sonnet-45-2026-01-06.md)
Scoring System (100 points)
Scoring Rubric v2.0 - 6 scored dimensions, 100 points total
Raw Score Range: 0-10 per dimension Formula: Raw (0-10) × Weight = Points
Scored Dimensions:
| Dimension | Weight | Max Points | Focus |
|---|---|---|---|
| Actionability | 3.0 | 30 | Can agents execute without judgment? |
| Rule Size | 2.5 | 25 | Within 500-line target? (deterministic) |
| Parsability | 1.5 | 15 | Schema valid? |
| Completeness | 1.5 | 15 | All scenarios covered? |
| Consistency | 1.0 | 10 | Internal alignment correct? |
| Cross-Agent Consistency | 0.5 | 5 | Works across all agents? |
Informational Only (Not Scored):
- Token Efficiency - Merged into Rule Size; findings in recommendations
- Staleness - Flagged in recommendations; not scored
Hard Caps:
| Condition | Effect |
|---|---|
| >600 lines | Total score capped at 70/100 |
| >700 lines | Total score capped at 50/100 |
| ≥6 blocking issues | Total score capped at 80/100 |
| ≥10 blocking issues | Verdict forced to NOT_EXECUTABLE |
Detailed rubrics: rubrics/[dimension].md
Example Calculation (Actionability):
- Raw score: 8/10
- Weight: 3.0
- Points: 8 × 3.0 = 24 points
What ships with it
38 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.
- CHANGELOG.md 4.5 KB
- examples/edge-cases.md 10.0 KB
- examples/focused-review.md 800 B
- examples/full-review.md 4.6 KB
- examples/project-file-review.md 6.6 KB
- examples/staleness-review.md 766 B
- examples/TEMPLATE.md 5.2 KB
- references/REVIEW-OUTPUT-TEMPLATE.md 8.0 KB
- rubrics/_calibration-examples.md 3.0 KB
- rubrics/_overlap-resolution.md 5.7 KB
- rubrics/actionability.md 11 KB
- rubrics/completeness.md 13 KB
- rubrics/consistency.md 11 KB
- rubrics/cross-agent-consistency.md 7.6 KB
- rubrics/parsability.md 15 KB
- rubrics/rule-size.md 8.9 KB
- rubrics/staleness.md 2.4 KB
- rubrics/token-efficiency.md 1.8 KB
- tests/test_gate7_integration.py 4.3 KB runs code
- tests/test-inputs.md 4.8 KB
- tests/test-modes.md 6.3 KB
- tests/test-outputs.md 5.8 KB
- tests/TESTING.md 8.4 KB
- workflows/bulk-coordination.md 1.1 KB
- workflows/determinism.md 2.5 KB
- workflows/dimension-subagent-template.md 8.2 KB
- workflows/doc-currency-check.md 3.5 KB
- workflows/error-handling.md 9.6 KB
- workflows/file-write.md 3.1 KB
- workflows/input-validation.md 2.0 KB
- workflows/model-slugging.md 414 B
- workflows/parallel-execution.md 12 KB
- workflows/parameter-collection.md 5.5 KB
- workflows/review-execution.md 8.5 KB
- workflows/review-verification.md 4.8 KB
- workflows/schema-validation.md 8.7 KB
- workflows/score-aggregation.md 18 KB
- workflows/timing-integration.md 6.3 KB
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.
- 11d ago First seen · 388 lines · 69 tokens per session scan A ba4906d0a5d2
rule-reviewer is a skill published in the GitHub repository sfc-gh-myoung/ai_coding_rules (7 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 69 tokens to every session and 4,604 once invoked, about $0.0003 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
autoreview
Pre-commit/ship code review: Codex default; optional Claude or Pi.
omh-code-review
This is a Hermes-native code-review workflow skill.
revdiff-plan
Review the last Codex assistant message (plan, analysis, or proposal) with inline annotations in a TUI overlay. Extracts the most recent response from Codex rollout files and opens it in revdiff for review and annotation. Activates on "revdiff-plan", "review plan with revdiff", "annotate plan", "review last response"…
code-reviewer
Code review specialist focused on patterns, bugs, security, and performance.
full-repo-review
Comprehensive four-wave review of all repo source files, producing a prioritized issue backlog.
agent-teams-simplify-and-harden
Implementation + audit loop using parallel agent teams with structured simplify, harden, and document passes. Spawns implementation agents to do the work, then audit agents to find complexity, security gaps, and spec deviations, then loops until code compiles cleanly, all tests pass, and auditors find zero issues or…