detection-breadth

detection-breadth is a skill for Claude Code, Codex from deonmenezes/mantishack. It costs 52 tokens per session (479 once invoked), scanned A, original, Apache-2.0.

Guidance for adding Bandit and Trivy to a software security scanning process. Bandit checks Python code, while Trivy checks dependencies, secrets, and infrastructure configuration.

In plain words
What is it for?
It helps scan Python-specific patterns, container and infrastructure files, dependencies, and embedded secrets alongside tools such as Semgrep, CodeQL, OSV-Scanner, and TruffleHog.
Why use it?
It broadens detection beyond general code and dependency scanners, while keeping each scanner’s limits clear and avoiding treating every hit as a confirmed vulnerability.

Skill for Claude CodeCodex

Install

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.

agentmods
npx agentmods add skills/deonmenezes/mantishack/detection-breadth
Any agent
npx skills add deonmenezes/mantishack --skill detection-breadth
Clone the repo
git clone --depth 1 https://github.com/deonmenezes/mantishack

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for detection-breadth

README.md
[![agentmods](https://agentmods.dev/badge/skills/deonmenezes/mantishack/detection-breadth.svg)](https://agentmods.dev/skills/deonmenezes/mantishack/detection-breadth)
Your own site
<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>
Per session 52 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 479 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce 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

Measured 5d ago against content hash 16d9840a47b6, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

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.

.codex/skills/detection-breadth/SKILL.md · 14 lines

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. subprocess with shell=True, weak crypto, yaml.load, flask debug) that a generic ruleset can under-cover. Every hit is a candidate; bandit's own severity/confidence describe rule confidence, not demonstrated impact, so do not report them as final severity. Default confidence to low for 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).

Changes

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.

  1. 5d ago First seen · 14 lines · 52 tokens per session scan A 16d9840a47b6

Subscribe to this mod's changes

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.

Related

Other skills, from other repositories

compare-harnesses

Diff two scaffolded harnesses (ADR-031). Reports manifest meta drift + host list + per-file fingerprint changes (added/removed/changed). Exits 0 IDENTICAL, 1 DRIFT, 2 missing manifest. Use --bundle for the ADR-031 schema-1 JSON envelope.

ruvnet/metaharness · 66 tokens

create-harness

Scaffold your own focused AI agent harness — pick host (Claude Code, Codex, pi.dev, Hermes), template, agents, skills, and ship a npm-publishable harness with its own npx CLI. Use when a user asks to "create my own agent harness", "scaffold a harness", "make a custom Claude Code plugin like ruflo", or "build a…

ruvnet/metaharness · 89 tokens

diag-harness

Kernel-version skew check (ADR-027). Reports manifest surface + manifest kernel + installed kernel + verdict (match/patch-diff/minor-diff/major-diff). Exits 1 on minor/major skew with a copy-pasteable npm install @metaharness/[email protected] next step. Exits 2 if no .harness/manifest.json at path.

ruvnet/metaharness · 85 tokens

example-harness

Scaffold a ready-made AI agent harness in one command from the 19 published @metaharness/ example packages — 9 host integrations (Claude Code, Codex, Hermes, pi.dev, OpenClaw, RVM, Copilot, OpenCode, GitHub Actions) + 10 vertical pods (devops, research, trading, support, legal, coding, education, sales, gaming…

ruvnet/metaharness · 90 tokens

oia-manifest

Emit .harness/oia-manifest.json declaring layer alignment with the OIA v0.1 9-layer reference architecture. Self-describes the harness's MCP wiring, witness signing, audit log, identity posture (always 'none' at v0.1). --check verifies an existing manifest, --dry-run prints without writing, --json emits to stdout.

ruvnet/metaharness · 79 tokens

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.

ruvnet/metaharness · 73 tokens