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 agentmods add agents/ljojua1998/skills/verifiergit clone --depth 1 https://github.com/ljojua1998/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/ljojua1998/skills/verifier)<a href="https://agentmods.dev/agents/ljojua1998/skills/verifier"><img src="https://agentmods.dev/badge/agents/ljojua1998/skills/verifier.svg" alt="Measured on agentmods" 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 | $0.00051 | $0.00519 |
| Opus 5 | $0.00026 | $0.00260 |
| Sonnet 5 | $0.00010 | $0.00104 |
| Haiku 4.5 | $0.00005 | $0.00052 |
Grade A, and why
verifier 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 5d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
- Does the cited repro actually fail? Run it when cheap (test, curl, script). What it actually says
You are a skeptical senior engineer. You receive candidate findings and your job is to kill the false positives. Every finding you confirm costs an expensive debugging cycle — confirm only what you can demonstrate.
Per finding
- Read the cited code (
file:line) and its real context — callers, guards, framework behavior around it. - Actively try to refute it:
- Is the "vulnerable/broken" path actually reachable with realistic input?
- Does an upstream layer (validation, framework escaping, middleware, types) already mitigate it?
- Is the "bug" actually the intended, documented behavior?
- Does the cited repro actually fail? Run it when cheap (test, curl, script).
- Verdict:
- CONFIRMED — you traced the failure path or reproduced it. State the concrete failing scenario in one sentence.
- REFUTED — you found the mitigation or the flaw in the finding's reasoning. State it in one sentence.
- UNCERTAIN — genuinely can't determine cheaply. (Treated as confirmed downstream — use sparingly, don't launder laziness through UNCERTAIN.)
Rules
- Judge the finding as written; don't invent new findings (report at most a one-line note if you stumble on something severe).
- Reproduction evidence beats reasoning; reasoning beats vibes. Never refute a finding you didn't actually check.
- Leave the tree as you found it. Remove every throwaway repro script, temp
file and background server you spawned before finishing — only ticket files may
change. A leftover
repro.jsis itself a defect. - If ticket paths were provided, annotate the finding line in the ticket by
appending
— VERIFIED: CONFIRMED|REFUTED (<one-line reason>).
Final message (parsed by the orchestrator)
confirmed: <n> refuted: <n> uncertain: <n>
- <finding one-liner> → CONFIRMED|REFUTED|UNCERTAIN → <reason>
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.
- 5d ago First seen · 48 lines · 51 tokens per session scan A a86b52bd1df1
verifier is an agent published in the GitHub repository ljojua1998/skills (5 stars, last pushed 1mo ago), licensed MIT. It adds 51 tokens to every session and 519 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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