opsec-discipline

opsec-discipline is a skill for Claude Code from hypnguyen1209/offensive-claude. It costs 49 tokens per session (517 once invoked), scanned A, original, MIT.

A safety checklist for authorized offensive security work. It asks the operator to consider what activity will be logged, how changes will be undone, and how captured secrets will be removed before sharing results.

In plain words
What is it for?
Planning scans, exploits, persistence, lateral movement, data collection, or other outward actions with attention to telemetry, cleanup, and secret redaction.
Why use it?
It reduces unexpected detection, leftover test artifacts, and accidental exposure of passwords, cookies, API keys, or tokens during security testing.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the offensive-claude plugin — 30 skills, 18 commands, 8 agents, 1 hook shipped together

Good fit Planning scans, exploits, persistence, lateral movement, data collection, or other outward actions with attention to telemetry, cleanup, and secret redaction.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/hypnguyen1209/offensive-claude/opsec-discipline
Install

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.

Any agent
npx skills add hypnguyen1209/offensive-claude --skill opsec-discipline
Clone the repo
git clone --depth 1 https://github.com/hypnguyen1209/offensive-claude

Made for: Claude Code.

Or install offensive-claude, the plugin that ships this one along with the rest of its 30 skills, 18 commands, 8 agents, 1 hook.

Wrote 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.

agentmods badge for opsec-discipline

README.md
[![agentmods](https://agentmods.dev/badge/skills/hypnguyen1209/offensive-claude/opsec-discipline/github.svg)](https://agentmods.dev/skills/hypnguyen1209/offensive-claude/opsec-discipline)
Your own site
<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.

agentmods 80×15 button for opsec-discipline

Your own site · 80×15
<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>
Per session 49 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 517 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce 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

Measured 11d ago against content hash b87303e014de, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

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.

skills/opsec-discipline/SKILL.md · 43 lines

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

  1. 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.
  2. Cleanup — what does this touch (files, registry, services, accounts, tickets)? How is it reverted? Stage the cleanup before you create the artifact.
  3. 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 (or redact_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).

Changes

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.

  1. 11d ago First seen · 43 lines · 49 tokens per session scan A b87303e014de

Subscribe to this mod's changes

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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