PentesterFlow is a terminal-based AI assistant for authorized penetration testing and bug hunting, guiding analysts through reconnaissance, testing, evidence gathering, and reporting while requiring human approval for sensitive actions. Security engineers use it with local or hosted language models and real security tools, and the catalogue add-ons extend its workflows.
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 PentesterFlow/agent --skill _templategit clone --depth 1 https://github.com/PentesterFlow/agentWrote 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/pentesterflow/agent/_template)<a href="https://agentmods.dev/skills/pentesterflow/agent/_template"><img src="https://agentmods.dev/badge/skills/pentesterflow/agent/_template/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/pentesterflow/agent/_template"><img src="https://agentmods.dev/badge/skills/pentesterflow/agent/_template.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00084 | $0.00302 |
| Opus 5.5 | $0.00034 | $0.00121 |
| Sonnet 5.5 | $0.00017 | $0.00060 |
| Haiku 4.5 | $0.00008 | $0.00030 |
Grade A, and why
my-skill 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 1mo 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
Concrete, copy-pasteable commands. Default to curl + the `http` tool; only What it actually says
my-skill playbook
State the goal in one or two sentences — what the operator is trying to achieve — and the scope rules (authorized targets only).
1. First step
Concrete, copy-pasteable commands. Default to curl + the http tool; only
reach for specialised scanners when the user asks.
curl -ksS "https://TARGET/..."
Reference bundled files (e.g. a wordlist under payloads/) with
read_payloads(skill="my-skill", file="list.txt"), or shell scripts via the
${SKILL_DIR} placeholder:
${SKILL_DIR}/scripts/check.sh https://TARGET
2. Next step
...
Reporting
What proves the bug, the concrete impact in one sentence, and remediation.
When you have a reproduced finding with a real request/response, call
confirm_finding.
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.
- 1mo ago First seen · 41 lines · 84 tokens per session scan A 665c7454dcc5
my-skill is a skill published in the GitHub repository PentesterFlow/agent (1,401 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 84 tokens to every session and 302 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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