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Turn a captured HTTP request/response into a bounded, redacted evidence pack with a stable request-ref using the mantis_http_audit MCP server, instead of pasting raw traffic into a finding
Passed 18 of 23 test cases with the skill, and 7 of 23 without it.
and 10 more in the full report
11 fixed7 passed either way5 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
The instructions your model reads when the skill loads.
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:
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).request_ref is 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).
test cases passed, vs 7 / 23 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.