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 hypnguyen1209/offensive-claude --skill opsec-disciplinegit clone --depth 1 https://github.com/hypnguyen1209/offensive-claudeWrote 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/hypnguyen1209/offensive-claude/opsec-discipline)<a href="https://agentmods.dev/skills/hypnguyen1209/offensive-claude/opsec-discipline"><img src="https://agentmods.dev/badge/skills/hypnguyen1209/offensive-claude/opsec-discipline/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/hypnguyen1209/offensive-claude/opsec-discipline"><img src="https://agentmods.dev/badge/skills/hypnguyen1209/offensive-claude/opsec-discipline.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 | $0.00049 | $0.00517 |
| Opus 5 | $0.00024 | $0.00259 |
| Sonnet 5 | $0.00010 | $0.00103 |
| Haiku 4.5 | $0.00005 | $0.00052 |
Grade A, and why
opsec-discipline 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 11d 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.
What it actually says
OPSEC Discipline
Overview
Decide the detection footprint and cleanup before acting, not after. Every offensive technique in this repo pairs with the telemetry it generates and a detection signature — use that pairing to choose the quieter path and to know what you'll need to clean up.
Before acting, answer three questions
- Detection — what telemetry does this generate? Which Sigma/EDR rule would catch it? (Each domain skill's OPSEC & Detection table has this.) Pick the lower-noise variant when one exists.
- Cleanup — what does this touch (files, registry, services, accounts, tickets)? How is it reverted? Stage the cleanup before you create the artifact.
- Secret hygiene — any captured traffic / output that reaches the model or the report must be
redacted at the boundary:
python skills/coding-mastery/scripts/_lib/redact_headers.py < exchange.txt(orredact_text()), so Authorization/Cookie/API-key/JWT values never land in context or the report.
Red Flags — STOP, decide OPSEC first
- "I'll worry about cleanup after I'm in" (you won't; decide now)
- "Just paste the raw request/response" (redact secrets at the boundary first)
- "Loudest exploit is fine, it works" (pick the variant with the smaller footprint)
- "Persistence now, document later" (persistence on un-authorized hosts is out — see scope-discipline)
- "The token's only in a log" (a logged secret is a leaked secret — mask it)
Rationalizations
| Excuse | Reality |
|---|---|
| "OPSEC slows me down" | Unplanned noise/loot is how engagements get burned and how data leaks. |
| "It's an internal tool log" | Logs get shipped, shared, and indexed. Redact. |
| "Cleanup is a reporting-phase task" | You can't clean what you didn't track. Track at action time. |
OPSEC is part of every action, not a phase. Detection-awareness also strengthens the defensive value of the finding (you can tell the client exactly how to catch it).
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.
- 11d ago First seen · 43 lines · 49 tokens per session scan A b87303e014de
opsec-discipline is a skill published in the GitHub repository hypnguyen1209/offensive-claude (357 stars, last pushed 24d ago), licensed MIT. It adds 49 tokens to every session and 517 once invoked, about $0.0002 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 2026-08-30.
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