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 skills/deonmenezes/mantishack/http-evidencenpx skills add deonmenezes/mantishack --skill http-evidencegit clone --depth 1 https://github.com/deonmenezes/mantishackWrote 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/deonmenezes/mantishack/http-evidence)<a href="https://agentmods.dev/skills/deonmenezes/mantishack/http-evidence"><img src="https://agentmods.dev/badge/skills/deonmenezes/mantishack/http-evidence.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 5.1 | $0.00043 | $0.00417 |
| Opus 5 | $0.00022 | $0.00209 |
| Sonnet 5 | $0.00009 | $0.00083 |
| Haiku 4.5 | $0.00004 | $0.00042 |
Grade A, and why
http-evidence 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 6d 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
Use http_audit (mantis_http_audit MCP server) whenever you have a captured HTTP exchange that proves a web finding, before attaching it as evidence. It converts raw request/response text into a bounded, redacted evidence pack and a stable request_ref/response_ref hash.
Why go through it instead of pasting the raw exchange into the finding:
- It strips secret-bearing headers (
Authorization,Cookie,Set-Cookie,X-Api-Key, CSRF tokens, ...) and inline secrets (AWS keys, GitHub/Slack tokens, JWTs, private keys,user:pass@in URLs). Raw secrets must never land in a finding, artifact, report, or prompt (PRD section 9/11). - It bounds the body: full bodies are hashed and previewed (first 512 bytes), never stored whole.
- The
request_refis a stable hash of the exchange, so the same request always maps to the same id -- use it to cross-reference and dedup evidence across findings.
Workflow: capture the request (and response) text -> call http_audit({ request, response }) -> attach the returned request_ref/response_ref and the redacted pack to the finding via mantis_findings finding_update evidence. The tool makes NO network call itself; you pass in traffic you already captured under authorized, scoped testing.
Do not defeat the redaction by separately pasting the raw header/body you just redacted into the finding or report. If you need to prove a specific secret was exposed, reference it by its redaction label and location, and follow the secrets-scan skill's remediation guidance (rotate/revoke, then remove from source and history).
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.
- 6d ago First seen · 17 lines · 43 tokens per session scan A 2f7c9fbab19b
http-evidence is a skill published in the GitHub repository deonmenezes/mantishack (493 stars, last pushed 25d ago), licensed Apache-2.0. It adds 43 tokens to every session and 417 once invoked, about $0.0002 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 2026-08-30.
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