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 mtarcure/claude-vibe-squad --skill findings-filtergit clone --depth 1 https://github.com/mtarcure/claude-vibe-squadWrote 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/mtarcure/claude-vibe-squad/findings-filter)<a href="https://agentmods.dev/skills/mtarcure/claude-vibe-squad/findings-filter"><img src="https://agentmods.dev/badge/skills/mtarcure/claude-vibe-squad/findings-filter/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/mtarcure/claude-vibe-squad/findings-filter"><img src="https://agentmods.dev/badge/skills/mtarcure/claude-vibe-squad/findings-filter.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 | $0.00066 | $0.00445 |
| Opus 5.5 | $0.00026 | $0.00178 |
| Sonnet 5.5 | $0.00013 | $0.00089 |
| Haiku 4.5 | $0.00007 | $0.00044 |
Grade A, and why
findings-filter 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 1mo 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
Findings Filter
Filter a candidate finding set down to what is real, reachable, and worth someone's attention — before it reaches a report.
Steps
- Reproduce first. A finding that has not been reproduced from a clean state is a hypothesis; label it so or drop it.
- Apply the reachability gate: name the entry point, the actor, the privilege level, and the concrete input that reaches the defect. No path, no finding.
- Apply the impact gate: state what an attacker gains that they did not already have. Findings whose only outcome is disclosure of already-public information, or self-inflicted harm by a privileged user, do not survive.
- Apply the precondition gate: list every assumption the finding needs. If the preconditions are individually unlikely and jointly required, say so and rank accordingly.
- Deduplicate by root cause, not by symptom. Ten call sites of one unsafe helper are one finding with ten instances.
- Separate defects from hardening suggestions. Hardening is legitimate output but must not be presented at defect severity.
- Check each survivor against the intended audience's bar — a program's scope, an operator's threat model, a reviewer's severity floor — and drop what is out of scope rather than padding.
- For every dropped finding, record the gate it failed. The dropped list is evidence of thoroughness and prevents the same candidate being re-raised next pass.
Acceptance
- Every retained finding was reproduced, with the reproduction recorded.
- Each retained finding names entry point, actor, privilege, and reaching input.
- Each states the attacker's concrete gain, not just the anomaly.
- Findings are deduplicated by root cause, with instances listed underneath.
- Hardening is separated from defects, and every drop records which gate it failed.
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.
- 1mo ago First seen · 27 lines · 66 tokens per session scan A 18abac9132d6
findings-filter is a skill published in the GitHub repository mtarcure/claude-vibe-squad (165 stars, last pushed 1mo ago), licensed MIT. It adds 66 tokens to every session and 445 once invoked, about $0.0003 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 2026-09-19.
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