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/detection-breadthnpx skills add deonmenezes/mantishack --skill detection-breadthgit 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/detection-breadth)<a href="https://agentmods.dev/skills/deonmenezes/mantishack/detection-breadth"><img src="https://agentmods.dev/badge/skills/deonmenezes/mantishack/detection-breadth.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 | $0.00052 | $0.00479 |
| Opus 5 | $0.00026 | $0.00239 |
| Sonnet 5 | $0.00010 | $0.00096 |
| Haiku 4.5 | $0.00005 | $0.00048 |
Grade A, and why
detection-breadth 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 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.
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
The core Detect toolchain is semgrep (broad SAST), CodeQL (dataflow SAST), osv-scanner (SCA), trufflehog (secrets), and program-analysis (AST/taint/SMT). Two companion servers widen coverage; reach for them deliberately, not reflexively.
bandit_scan(mantis_bandit): Python-specific SAST. Use it on Python targets in addition to semgrep -- bandit encodes Python-idiom checks (e.g.subprocesswithshell=True, weak crypto,yaml.load, flask debug) that a generic ruleset can under-cover. Every hit is acandidate; bandit's own severity/confidence describe rule confidence, not demonstrated impact, so do not report them as final severity. Defaultconfidencetolowfor full recall on a first sweep.trivy_scan(mantis_trivy): composition analysis in one pass -- vulnerable dependencies, embedded secrets, and IaC (Dockerfile/Terraform/k8s) misconfigurations. Use it to add container/IaC coverage that osv-scanner (deps only) and trufflehog (secrets only) don't reach. A vulnerable dependency being present does not mean its vulnerable code path is reachable -- that's a separate question for the reachability stage. Secret values are never returned, only rule/line references.
Both degrade gracefully: if the underlying binary isn't installed they report available: false. When that happens, say so explicitly rather than claiming coverage you didn't get, and fall back to the core toolchain. Do not double-count: if trivy and osv-scanner both flag the same advisory for the same package, it's one candidate, not two.
Every result from either tool is a candidate in the findings lifecycle -- register it via mantis_findings finding_create, then trace reachability and attacker-simulate before it can become confirmed (see the mantis-pipeline and findings-spine skills).
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 · 14 lines · 52 tokens per session scan A 16d9840a47b6
detection-breadth is a skill published in the GitHub repository deonmenezes/mantishack (493 stars, last pushed 24d ago), licensed Apache-2.0. It adds 52 tokens to every session and 479 once invoked, about $0.0003 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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example-harness
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repo-genome
7-section readiness scorecard for a LOCAL repo. Reports repo type + agent topology + MCP risk + test confidence + release readiness + recommended harness plan + scorecard. Exit 0 ready, 1 needs-work, 2 blocked. --json for the 6-field scorecard, --bundle for the ADR-031 schema-1 envelope.