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/Kin9Zeus/senior-engineer-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/commands/kin9zeus/senior-engineer-skills/snr-pentest)<a href="https://agentmods.dev/commands/kin9zeus/senior-engineer-skills/snr-pentest"><img src="https://agentmods.dev/badge/commands/kin9zeus/senior-engineer-skills/snr-pentest/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/commands/kin9zeus/senior-engineer-skills/snr-pentest"><img src="https://agentmods.dev/badge/commands/kin9zeus/senior-engineer-skills/snr-pentest.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 | $0.00031 | $0.00698 |
| Opus 5.5 | $0.00012 | $0.00279 |
| Sonnet 5.5 | $0.00006 | $0.00140 |
| Haiku 4.5 | $0.00003 | $0.00070 |
Grade A, and why
snr-pentest 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 2d 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 — 60 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Authorised Security Test
Target: $ARGUMENTS
Load the pentest-methodology skill. This command is authorised, scoped,
non-destructive testing only.
Step 0 — the gate (do not skip, do not send a packet before it passes)
- Ask the user to confirm, in writing in this chat: who owns the target, that
they are entitled to authorise testing, the exact scope, the environment
(staging preferred), the time window and a stop contact. If it is a third
party's system, require the signed RoE (
templates/rules-of-engagement.md). - Create
scope.txt(format inreferences/authorization-and-roe.md) with theauthorized-byandvalid-untillines. - Run
bash skills/pentest-methodology/scripts/scope-guard.sh scope.txt <target>before every new host or IP. Exit1= refuse; do not probe.
No gate, no active testing. Without it you may only do: static code review of
code the user owns, work on a local lab (references/tooling-and-lab.md), or test
the user's own localhost.
Step 1 — plan (--plan stops here)
Build a risk-ordered test plan: model assets and attackers → map routes, roles, APIs → list tests by yield (secrets/exposure → access control → authentication → injection → XSS/CSRF → SSRF/uploads → business logic → configuration → infra → supply chain). Specify accounts needed (two per role), rate limits, and what is out of scope.
Step 2 — test
Follow references/web-app-testing.md, references/api-testing.md and
references/infra-and-cloud-testing.md. Rules:
- Synthetic data and your own test accounts only; never real users' data
- Prove, don't harvest — inert markers, least harmful evidence, no persistence, no pivoting, no DoS, no social engineering
- Conservative rates; reproduce every finding twice before reporting
- Stop and call the contact if real personal data is exposed, the system
degrades, an out-of-scope asset appears, or the system looks already compromised
(then switch to
/snr-incident)
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.
- 2d ago First seen · 60 lines · 31 tokens per session scan A 014039a0d554
snr-pentest is a command published in the GitHub repository Kin9Zeus/senior-engineer-skills (3 stars, last pushed 2d ago), licensed MIT. It adds 31 tokens to every session and 698 once invoked, about $0.0001 per session on Opus 5.5. 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 2026-10-24.
Other commands, from other repositories
gate
Run every objective gate this project can prove and report the real N/N. Use before claiming any screen or component is done.
compose
Compose a document from a reading pattern when no canonical type fits, as Markdown in the user's repository. Use when invoked as /document-design-system:compose. Produce designed HTML or PDF only when asked.
adr
Write an architecture decision record as Markdown in the user's repository. Use when invoked as /document-design-system:adr. Produce designed HTML or PDF only when asked.
test-report
Write a point-in-time test report as Markdown in the user's repository. Use when invoked as /document-design-system:test-report. Produce designed HTML or PDF only when asked.
change-request
Write a change request as Markdown in the user's repository. Produce designed HTML or PDF only when asked.
estimate
Write a basis of estimate as Markdown in the user's repository. Produce designed HTML or PDF only when asked.