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 joaquimscosta/arkhe-claude-plugins --skill verify-findingsgit clone --depth 1 https://github.com/joaquimscosta/arkhe-claude-pluginsWrote 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/joaquimscosta/arkhe-claude-plugins/verify-findings)<a href="https://agentmods.dev/skills/joaquimscosta/arkhe-claude-plugins/verify-findings"><img src="https://agentmods.dev/badge/skills/joaquimscosta/arkhe-claude-plugins/verify-findings/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/joaquimscosta/arkhe-claude-plugins/verify-findings"><img src="https://agentmods.dev/badge/skills/joaquimscosta/arkhe-claude-plugins/verify-findings.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 | $0.00076 | $0.01172 |
| Opus 5.5 | $0.00030 | $0.00469 |
| Sonnet 5.5 | $0.00015 | $0.00234 |
| Haiku 4.5 | $0.00008 | $0.00117 |
Grade A, and why
verify-findings scanned grade A 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 yesterday.
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.
Asks the agent to reveal its instructionslowSystem prompt leakage
Directions to print, repeat or translate the system prompt extract configuration the operator did not intend to expose.
## Output Instructions Downgraded: this mod is about security review, or the phrase is quoted, so it is likely naming the pattern rather than instructing it.
How it starts
The opening of the file, as written. The whole thing — 127 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Verify Review Findings
Independent false-positive verification. Assume every finding is false until proven by evidence.
Parse Arguments
$ARGUMENTS(required): Path to the review report file to verify
If no argument is provided, ask the user for the report path.
Step 1 — Read and Parse Report
- Read the report file at the provided path
- Detect review type from the header:
- "Pragmatic Code Review Report" → code review
- "Security Review Report" → security review
- Extract each finding into a structured list:
- Triage level (Blocker, Improvement, Question)
- File path and line number
- Description and confidence/severity scores
- For security: CWE, category, exploit scenario
- Skip Praise and Nit findings — only verify Blocker, Improvement, and Question
Step 2 — Verify Each Finding
For each extracted finding, perform independent verification. See WORKFLOW.md for detailed procedures.
Code Review Findings
- Read the flagged code at the specified line with ~50 lines of surrounding context
- Grep the codebase for the same pattern to check if it's an established convention
- Verify the cited principle — does SOLID/DRY/KISS/YAGNI actually apply here?
- Check framework handling — does the framework or library address this concern automatically?
- Assess concrete impact — is the problem demonstrable or theoretical?
Security Review Findings
- Read the flagged code and trace data flow from source to sink
- Grep for sanitizers/validators in the code path between source and sink
- Detect framework protections — React auto-escaping, Spring Security, Django ORM parameterization, etc.
- WebSearch the CWE/CVE for known false positive patterns and framework-specific mitigations
- Verify exploit feasibility — is the exploit scenario actually possible in this application context?
- Check code context — is this test-only code, behind authentication, or behind a feature flag?
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.
- yesterday First seen · 127 lines · 76 tokens per session scan A 647136413686
verify-findings is a skill published in the GitHub repository joaquimscosta/arkhe-claude-plugins (21 stars, last pushed yesterday), licensed MIT. It adds 76 tokens to every session and 1,172 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it A with 1 finding (asks the agent to reveal its instructions). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-10-16.
Other skills, from other repositories
code-review
Review code for security, quality, and maintainability with structured feedback.
pr-creator
Create well-structured pull requests with proper descriptions and labels.
audit
Read-only quality gate that audits already-built work against its stated requirement and Definition of Done before it is allowed to move to 2done/. Produces a severity-ranked decision proposal (BLOCKER/MAJOR/MINOR/NIT) with evidence; the judgement never edits, only a recorded post-audit step may fix small findings.…
pr-vetting
Use when the user wants to thoroughly investigate, vet, review, or security-scan a pull request before deciding how to handle it - especially PRs from external or unknown contributors. Runs a parallel multi-agent investigation (technical, security, value/fit, contributor reputation) and merges the findings into one…
audit-project
Audits the Claude Code configuration of a project against the dotforge template. Generates a report with score and gaps.
dev-rc
The last gate before merge — QA, security audit, review and changelog, with objective pass conditions.