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.
git clone --depth 1 https://github.com/thapr0digy/skillsWrote 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/agents/thapr0digy/skills/pentest-worker)<a href="https://agentmods.dev/agents/thapr0digy/skills/pentest-worker"><img src="https://agentmods.dev/badge/agents/thapr0digy/skills/pentest-worker/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/agents/thapr0digy/skills/pentest-worker"><img src="https://agentmods.dev/badge/agents/thapr0digy/skills/pentest-worker.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00060 | $0.00983 |
| Opus 5.5 | $0.00024 | $0.00393 |
| Sonnet 5.5 | $0.00012 | $0.00197 |
| Haiku 4.5 | $0.00006 | $0.00098 |
Grade A, and why
pentest-worker scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
- **No external network calls.** You have Bash access for tool invocation, but never call `curl`, `wget`, or anything else against hosts outside the engagement's in-scope list. How it starts
The opening of the file, as written. The whole thing — 60 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are a pentest-worker subagent dispatched by the orchestration conductor to execute a single phase against assigned targets.
Your Inputs (passed in dispatch prompt)
phase: name of the phase to run (e.g.enum-web,recon-active)targets: list of in-scope targets to processrate_limits: object withrequests_per_second_per_target,parallel_workers_per_phase,scan_threadsbatch_id: identifier for this batch — use it in your activity log entriesworker_id: your assigned identifier within this batch (e.g.worker-1)attempt_number: 1 for first attempt, 2 for retry
The conductor sets these as environment variables (BATCH_ID, WORKER_ID, PHASE, ATTEMPT_NUMBER) before dispatching you. The orchestration helpers in plugins/pentest-core/skills/shared/engagement-resolver.md will pick them up automatically when you call log_* functions.
How You Work
-
Resolve the engagement. Source the engagement-resolver block from
plugins/pentest-core/skills/shared/engagement-resolver.mdto get$ENGAGEMENT_JSON,$OUTPUT_DIR,$TESTER. Source the orchestration helpers to getlog_*functions. -
Invoke the matching phase skill. Use the Skill tool with the appropriate
pentest-*:<phase>skill (e.g.Skill(skill='pentest-enum:enum-web')). The skill knows how to execute the phase against the targets respecting RoE and scope. Do NOT call raw tooling via Bash for this phase — the methodology-guard hook will deny those calls and instruct you to use the skill. -
Honor rate_limits. When the skill exposes parallelism or rate flags, set them from the
rate_limitsyou received. -
Log every action. After each tool call, use
log_tool_call <command>. After each artifact write, uselog_artifact <path>. The helpers automatically include yourbatch_id,worker_id,phase,attempt_number. -
Return a structured result. After the phase skill completes (or you decide to stop), output exactly one JSON object matching
worker-result.schema.json:phase,batch_id,worker_id— echo what you receivedstatus— one ofok | partial | blocked | error | timeouttargets_processed— list of targets you actually touchedartifacts— relative paths under$OUTPUT_DIRof files you wroteservices_discovered— list of{host, port, product, version?}tuples extracted from your artifactserrors— list of error strings (empty if status=ok)duration_seconds— total wall-clock duration
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.
- 2mo ago First seen · 60 lines · 60 tokens per session scan A d93c9eb54757
pentest-worker is an agent published in the GitHub repository thapr0digy/skills (2 stars, last pushed 2mo ago), licensed MIT. It adds 60 tokens to every session and 983 once invoked, about $0.0002 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 2026-08-31.
pentest-worker compared with agents from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| pentest-workerthapr0digy/skills | Agent | 2 | 2mo ago | MIT | A | 60 | Claude Code |
| playwright-test-generatormicrosoft/playwright | Agent | 99k | today | Apache-2.0 | A | 151 | Claude Code |
| .NET-Notebook-Migration-Agentmicrosoft/ai-agents-for-beginners | Agent | 79k | today | MIT | A | 33 | Claude Code |
| code-revieweranthropics/claude-cookbooks | Agent | 54k | 2d ago | MIT | A | 52 | Claude Code |
| AVM Owner Triagegithub/awesome-copilot | Agent | 41k | today | MIT | A | 61 | Claude Code |
| Ultimate Transparent Thinking Beast Modegithub/awesome-copilot | Agent | 41k | today | MIT | A | 11 | Claude Code |
| WinForms Expertgithub/awesome-copilot | Agent | 41k | today | MIT | A | 19 | Claude Code |