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 skills add andreaswasita/copilot-agents-dojo --skill security-auditgit clone --depth 1 https://github.com/andreaswasita/copilot-agents-dojoWrote 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/andreaswasita/copilot-agents-dojo/security-audit)<a href="https://agentmods.dev/skills/andreaswasita/copilot-agents-dojo/security-audit"><img src="https://agentmods.dev/badge/skills/andreaswasita/copilot-agents-dojo/security-audit/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/andreaswasita/copilot-agents-dojo/security-audit"><img src="https://agentmods.dev/badge/skills/andreaswasita/copilot-agents-dojo/security-audit.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Tool Misuse · line 53 Tool defaults are unsafe or overly permissive (e.g. disabled TLS verification, no authentication, world-writable permissions). Unsafe defaults widen the attack surface.Fix: Override unsafe defaults with secure settings (verify=True, auth required, restrictive permissions). Review and harden all tool configurations.
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 | $0.00013 | $0.01436 |
| Opus 5 | $0.00006 | $0.00718 |
| Sonnet 5 | $0.00003 | $0.00287 |
| Haiku 4.5 | $0.00001 | $0.00144 |
Grade A, and why
security-audit 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 9d 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.
Runs shell commandslowCapability
Expected in a hook, worth knowing in a rule or an instructions file.
| SA-011 | shell sink (`shell=True`, `os.system`) | high | How it starts
The opening of the file, as written. The whole thing — 108 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Security Audit Skill
Runs a deterministic heuristic scan over a codebase to flag high-confidence security risks — committed secrets, disabled TLS verification, insecure deserialization, and shell-injection sinks — then optionally layers LLM reasoning (OWASP/STRIDE) on top of the machine findings. This is a lightweight heuristic audit assistant, not a pentest, a SAST replacement, or a proof of security: it is a regex line-scanner that cannot follow data flow and will miss anything outside its rules. Treat its output as triage leads for human review, never as assurance.
When to Use
- Before opening a PR that touches auth, secrets handling, deserialization, or external calls.
- As a fast pre-commit sweep for accidentally committed credentials.
- When reviewing an unfamiliar contribution and you want a cheap first pass.
- To produce a persisted, idempotent report that diffs cleanly across runs.
- Paired with
derive-security-from-risk(which works forward, producing requirements) — this skill is the reverse, scanning existing code. - NOT as the only security gate, and NOT as evidence that code is secure (see Pitfalls).
Prerequisites
- The
powershellCopilot tool to invoke the scanner. - Python 3 on
PATH(the scan logic is one stdlib core; the.sh/.ps1are thin wrappers). - Read access to the target tree.
How to Run
Use the powershell tool to scan a directory and review the findings:
# High-confidence sweep of the repo (exit 1 = findings at/above --fail-on)
bash skills/security-audit/scripts/security-audit.sh . --suggest
# Broader (noisier) profile, fail only on medium-or-higher
bash skills/security-audit/scripts/security-audit.sh src --profile broad --fail-on medium
# Persist a deterministic JSON report for diffing
bash skills/security-audit/scripts/security-audit.sh . --format json --output audit.json
On Windows, call the parity wrapper security-audit.ps1 with the same arguments. Exit codes: 0 clean (below --fail-on), 1 findings at/above it, 2 usage error.
What ships with it
3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 9d ago First seen · 108 lines · 13 tokens per session scan A f9207feecf34
security-audit is a skill published in the GitHub repository andreaswasita/copilot-agents-dojo (52 stars, last pushed 2d ago), licensed MIT. It adds 13 tokens to every session and 1,436 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 1 finding (runs shell commands). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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