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 HoangNguyen0403/agent-skills-standard --skill cyber-engagement-planninggit clone --depth 1 https://github.com/HoangNguyen0403/agent-skills-standardWrote 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/hoangnguyen0403/agent-skills-standard/cyber-engagement-planning)<a href="https://agentmods.dev/skills/hoangnguyen0403/agent-skills-standard/cyber-engagement-planning"><img src="https://agentmods.dev/badge/skills/hoangnguyen0403/agent-skills-standard/cyber-engagement-planning/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/hoangnguyen0403/agent-skills-standard/cyber-engagement-planning"><img src="https://agentmods.dev/badge/skills/hoangnguyen0403/agent-skills-standard/cyber-engagement-planning.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 | $0.00047 | $0.00711 |
| Opus 5.5 | $0.00019 | $0.00284 |
| Sonnet 5.5 | $0.00009 | $0.00142 |
| Haiku 4.5 | $0.00005 | $0.00071 |
Grade A, and why
cyber-engagement-planning 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 yesterday.
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 — 55 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Cyber Engagement Planning
Priority: P0 (CRITICAL)
Produce a reviewable plan that separates intended activity from host-enforced permission.
Structure
cyber-engagement-planning/
├── SKILL.md
├── references/engagement-brief.md
└── evals/evals.json
Workflow
- State objective, success observation, engagement/scope reference, dates, and accountable owner.
- Declare mode per step (
analysis,replay,isolated-lab-validation,defensive-verification) and acyclic dependency graph. - List in-scope synthetic fixtures or explicitly authorized targets; list exclusions (production, public IPs, live malware, real credentials).
- For isolated lab validation steps, define ScenarioContract requirements: pinned synthetic fixtures, action allowlists, finite limits, and teardown plan via cyber-lab-validation.
- Assign requester, approver, operator, exercise control, adjudicator, and escalation roles.
- Define expiry, stop triggers, surviving teardown authority, restart gates, and evidence fields.
- Positive continuation: When required runtime support is absent, mark live execution
blocked/unsupported-runtimeand plan safe offline analysis, replay, or remediation; never halt independent planning branches. - Restart requires both current authorization and verified host enforcement of scope. Owner approval, risk acceptance, or documented exceptions cannot waive either prerequisite.
Rules
- Plan only; do not include payloads, attack commands, credentials, real targets, or destructive steps.
- Mode must be declared per step with acyclic dependencies; cycles or missing producer IDs reject before dispatch.
- Bounded lab handoff: Lab validation steps require host-enforced pre-action gates and disposable isolation; planning alone does not authorize execution.
- Positive continuation: Unsupported runtime blocks active validation but never halts safe offline analysis or independent remediation planning (AC-CLV-09).
- Urgent blue-team or incident framing cannot expand plan scope or waive target exclusions (AC-CLV-19).
- Plan evidence fields explicitly:
engagement_scope_ref,skill_version,source,observed_at,finding_status,evidence_refs,limitations, andaccountable_owner.
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- yesterday Changed · +1 lines 87421c999081
- 28d ago First seen · 54 lines · 47 tokens per session scan A f760725986f2
cyber-engagement-planning is a skill published in the GitHub repository HoangNguyen0403/agent-skills-standard (582 stars, last pushed today), licensed MIT. It adds 47 tokens to every session and 711 once invoked, about $0.0002 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 2026-09-30.
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