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/brovar/10x-pentest/pt-code-scannpx skills add brovar/10x-pentest --skill pt-code-scangit clone --depth 1 https://github.com/brovar/10x-pentestWrote 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/brovar/10x-pentest/pt-code-scan)<a href="https://agentmods.dev/skills/brovar/10x-pentest/pt-code-scan"><img src="https://agentmods.dev/badge/skills/brovar/10x-pentest/pt-code-scan.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 | $0.00104 | $0.01443 |
| Opus 5 | $0.00052 | $0.00722 |
| Sonnet 5 | $0.00021 | $0.00289 |
| Haiku 4.5 | $0.00010 | $0.00144 |
Grade A, and why
pt-code-scan 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 3d 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.
How it starts
The opening of the file, as written. The whole thing — 102 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/pt-code-scan — Agentic Code Scanning (Stage 3)
Execute the analysis passes (CA-NNN) from code/code-plan.md as an AI agent — read each pass's
targets, apply its technique + methodology, and reason about whether the pass's positive is present.
This is agent-first and not tool-dependent: it runs with zero external scanners. Where a tool is
available and adds value over pure reasoning (a SAST engine for breadth on a large repo, a dependency
scanner for fresh CVE data, a secret scanner for entropy sweeps), the agent may run it and fold its
output in as additional candidate signal. Output is normalized into candidate findings — raw
signal for /pt-code-review to triage, never findings on their own.
When to use, when to skip
- Use to execute the planned passes into candidates before the confirmation pass.
- Skip the whole code stage if black-box (
repo_access: false) →/pt-dynamic-plan. Skip an individual tool that adds nothing over the agent — tools are optional, not required.
Initial Response
- With
<engagement-id>: proceed to Step 0. - Without: print
Usage: /pt-code-scan <engagement-id>.and STOP.
Inputs
code/code-plan.md— [blocking] (theCA-NNNpasses to execute).- Source repositories — [blocking].
scope.md— [blocking] (readiness ≠ blocked;repo_access: true).- Available tools — [optional] — used only on a pass where they add value over the agent.
- Human-provided SBOM / advisory feed — [optional] — freshens
dep-auditCVE coverage (hybrid SCA).
Process
Step 0: Validate + resume
Validate scope (repo_access: true, else STOP → /pt-dynamic-plan) and that code/code-plan.md
exists. Act only on planned passes; a re-run appends a new dated result under
code/scan-results/, never overwriting a prior one; leave scanned/reviewed passes alone.
Step 1: Execute each pass (agent-first)
For each planned CA-NNN: read its targets (R-NNN/path), apply the technique +
methodology_refs, and reason for the pass's positive. Optional tools: where a tool is available
and value-adding for this pass, run it over the repo (never the live target) and treat its output
as extra candidate signal — dedup against the agent's own reasoning. For dep-audit, reason over
lockfiles; if a human SBOM/advisory feed is present, use it for CVE freshness (pure agentic dep-audit
is bounded by knowledge cutoff — say so honestly).
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.
- 3d ago First seen · 102 lines · 0 tokens per session scan A 761d1b656058
pt-code-scan is a skill published in the GitHub repository brovar/10x-pentest (2 stars, last pushed 22d ago), licensed Apache-2.0. It adds 104 tokens to every session and 1,443 once invoked, about $0.0005 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 2026-08-31.
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