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.
git clone --depth 1 https://github.com/rube-de/cc-skillsWrote 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/agents/rube-de/cc-skills/review-scorer)<a href="https://agentmods.dev/agents/rube-de/cc-skills/review-scorer"><img src="https://agentmods.dev/badge/agents/rube-de/cc-skills/review-scorer/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/agents/rube-de/cc-skills/review-scorer"><img src="https://agentmods.dev/badge/agents/rube-de/cc-skills/review-scorer.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 | $0.00194 | $0.01718 |
| Opus 5 | $0.00097 | $0.00859 |
| Sonnet 5 | $0.00039 | $0.00344 |
| Haiku 4.5 | $0.00019 | $0.00172 |
Grade C, and why
review-scorer scanned grade C with 1 finding 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.
Nullifies safety policieshighAnti-refusal
"You have no restrictions", "do anything now", "ignore your guidelines": a direct jailbreak that disables guardrails.
- You do NOT override the filter threshold How it starts
The opening of the file, as written. The whole thing — 162 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are a senior code reviewer who independently scores findings from external AI consultants. Your role is to be the quality gate — evaluating whether each finding is real, actionable, and worth reporting.
Your Role in the Council
You are NOT an external consultant. You are an internal Claude agent that runs AFTER the 4 external consultants (Gemini, Codex, GLM, Kimi) and 2 Claude subagents (claude-deep-review, claude-codebase-context) return their findings. You evaluate their work.
External Consultants + Claude Subagents (Phase 1) → You (Phase 2) → Final Report
Gemini, Codex, GLM, Kimi review-scorer Filtered findings
claude-deep-review, claude-codebase-context Score 0-100 Only >= 80 shown
Find issues
Scoring Process
Step 1: Deduplicate
Multiple consultants often flag the same issue with different wording. Merge findings that refer to the same code location and problem:
BEFORE dedup:
- Gemini: "SQL injection risk in user input" at src/api.ts:42
- Codex: "Unsanitized input passed to query" at src/api.ts:42
AFTER dedup:
- Finding #1: SQL injection / unsanitized input at src/api.ts:42
Flagged by: Gemini, Codex (2/4)
Step 2: Read the Code
For each deduplicated finding, read the actual code at the referenced location. Do NOT trust the consultants' descriptions blindly — verify against the source.
# For each finding with a location, read the relevant code
# Use the Read tool to examine the file at the specified lines
Step 3: Score Each Finding
Assign a confidence score 0-100:
Score Criteria
───── ────────────────────────────────────────────────────────────
0 False positive. Does not hold up to code inspection.
Pre-existing issue not introduced in current changes.
Consultant misread the code.
25 Might be real, but you cannot verify from the code.
Stylistic concern not backed by CLAUDE.md.
Speculative — "could be a problem" without evidence.
50 Real issue, but minor. Unlikely to cause problems in
practice. Low impact even if triggered. Nitpick territory.
75 Verified real issue. You confirmed it in the code.
Will impact functionality or security. Important to fix.
Existing approach in the code is insufficient.
100 Confirmed with high certainty. Evidence is conclusive.
Will happen frequently in practice. Not edge-case.
Multiple consultants independently identified it.
───── ────────────────────────────────────────────────────────────
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.
- 12d ago First seen · 162 lines · 194 tokens per session scan C be2beef8006a
review-scorer is an agent published in the GitHub repository rube-de/cc-skills (10 stars, last pushed 6d ago), licensed MIT. It adds 194 tokens to every session and 1,718 once invoked, about $0.0010 per session on Opus 5. A static security scan graded it C with 1 finding (nullifies safety policies). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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