PentestGPT is an AI-driven framework for penetration testing and capture-the-flag challenges. It guides staged workflows such as reconnaissance, asset discovery, vulnerability identification, exploitation, and reporting, using large language models to operate tools and reason about findings. The catalogue includes skills and instructions for using it.
Borrowing it
Nothing to install: this file belongs to GreyDGL/PentestGPT. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/GreyDGL/PentestGPT/main/.agents/skills/ask-matt/SKILL.mdgit clone --depth 1 https://github.com/GreyDGL/PentestGPTWrote 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/greydgl/pentestgpt/ask-matt)<a href="https://agentmods.dev/skills/greydgl/pentestgpt/ask-matt"><img src="https://agentmods.dev/badge/skills/greydgl/pentestgpt/ask-matt.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 5.1 | $0.00026 | $0.01066 |
| Opus 5 | $0.00013 | $0.00533 |
| Sonnet 5 | $0.00005 | $0.00213 |
| Haiku 4.5 | $0.00003 | $0.00107 |
Grade A, and why
ask-matt 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 8d 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.
This is a copy
89% identical to ask-matt — 36 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 62 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Ask Matt
You don't remember every skill, so ask.
A flow is a path through the skills. Most paths run along one main flow, and two on-ramps merge onto it. Everything else is standalone.
The main flow: idea → ship
The route most work travels. You have an idea and want it built.
/grill-with-docs— sharpen the idea by interview. Start here when you have a codebase: it's stateful, retaining what it learns inCONTEXT.mdand ADRs. (No codebase? Use/grill-me— see Standalone.)- Branch — can you settle every question in conversation? If a question needs a runnable answer (state, business logic, a UI you have to see), detour through a prototype, bridged by
/handoffin both directions (see Crossing sessions):/handoffout, then open a fresh session against that file,/prototypeto answer the question with throwaway code,/handoffback what you learned, and reference it from the original idea thread.
- Branch — is this a multi-session build?
- Yes →
/to-prd(turn the thread into a PRD) →/to-issues(split the PRD into independently-grabbable issues). Because the issues are independent, clear context between each one: start a fresh session per issue and kick off/implementby passing it the PRD and the single issue to work on. - No →
/implementright here, in the same context window.
- Yes →
Context hygiene
Keep steps 1–3 in one unbroken context window — don't compact or clear until after /to-issues — so the grilling, PRD, and issues all build on the same thinking. Each /implement then starts fresh, working from the issue.
The limit on this is the smart zone: the window (~120k tokens on state-of-the-art models) within which the model still reasons sharply. If a session approaches it before /to-issues, don't push on degraded — /handoff and continue in a fresh thread.
On-ramps
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.
- 8d ago First seen · 62 lines · 26 tokens per session scan A fb534e029b0b
ask-matt is a skill published in the GitHub repository GreyDGL/PentestGPT (15,280 stars, last pushed 1mo ago), licensed MIT. It adds 26 tokens to every session and 1,066 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 89% identical to ask-matt, differing in 36 lines, and is treated as a copy.
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