cyber-exercise-adjudication

cyber-exercise-adjudication is a skill for Claude Code, Codex from HoangNguyen0403/agent-skills-standard. It costs 46 tokens per session (480 once invoked), scanned A, original, MIT.

A review method for comparing cybersecurity exercise results with independently prepared expected results. It records evidence, discrepancies, limitations, and a bounded outcome without claiming regulatory compliance.

In plain words
What is it for?
It helps review redacted exercise evidence, resolve differences between observations and ground truth, and prepare sanitized findings for a security review.
Why use it?
It reduces the risk of changing expectations to fit the results or treating missing evidence as a pass. It keeps unresolved disagreements visible and assigns them for follow-up.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: installed under .agents/ (shared by several agents).

Good fit It helps review redacted exercise evidence, resolve differences between observations and ground truth, and prepare sanitized findings for a security review.

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Install with agentmods
npx agentmods add skills/hoangnguyen0403/agent-skills-standard/cyber-exercise-adjudication
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 HoangNguyen0403/agent-skills-standard --skill cyber-exercise-adjudication
Clone the repo
git clone --depth 1 https://github.com/HoangNguyen0403/agent-skills-standard

Made for: Claude Code, Codex.

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 cyber-exercise-adjudication

README.md
[![agentmods](https://agentmods.dev/badge/skills/hoangnguyen0403/agent-skills-standard/cyber-exercise-adjudication/github.svg)](https://agentmods.dev/skills/hoangnguyen0403/agent-skills-standard/cyber-exercise-adjudication)
Your own site
<a href="https://agentmods.dev/skills/hoangnguyen0403/agent-skills-standard/cyber-exercise-adjudication"><img src="https://agentmods.dev/badge/skills/hoangnguyen0403/agent-skills-standard/cyber-exercise-adjudication/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 cyber-exercise-adjudication

Your own site · 80×15
<a href="https://agentmods.dev/skills/hoangnguyen0403/agent-skills-standard/cyber-exercise-adjudication"><img src="https://agentmods.dev/badge/skills/hoangnguyen0403/agent-skills-standard/cyber-exercise-adjudication.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 46 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 480 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.
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 $0.00046 $0.00480
Opus 5.5 $0.00018 $0.00192
Sonnet 5.5 $0.00009 $0.00096
Haiku 4.5 $0.00005 $0.00048

Measured 28d ago against content hash 4ee7225419ae, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

cyber-exercise-adjudication 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 28d 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.

.agents/skills/cybersecurity/cyber-exercise-adjudication/SKILL.md · 53 lines

What it actually says

Cyber Exercise Adjudication

Priority: P0 (CRITICAL)

Compare evidence to pre-held expectations without self-approved promotion or compliance claims.

Structure

cyber-exercise-adjudication/
├── SKILL.md
├── references/adjudication-record.md
└── evals/evals.json

Workflow

  1. Confirm adjudicator independence from operator and evidence collector.
  2. Load approved objective, scope, expected observation, and ground-truth version.
  3. Compare redacted evidence by time, source, and limitation; record discrepancies.
  4. Assign confirmed, suspected, blocked, not-tested, or false-positive only with rationale.
  5. Preserve unresolved conflicts and route them to an accountable owner.
  6. Emit sanitized findings to artifacts/security-review.md when that artifact is in scope.

Rules

  • Independent ground truth is held before observation review; do not rewrite it to fit results.
  • A blocked runtime or missing evidence remains blocked, not passed.
  • Adjudication describes exercise evidence; it does not certify compliance or measure real-world efficacy.
  • Production changes, credential use, and live target interaction remain separately gated. Adjudication records carry engagement_scope_ref, skill_version, source, observed_at, finding_status, evidence_refs, limitations, and accountable_owner.

Anti-Patterns

  • No operator grading: Separate execution from adjudication.
  • No pass by silence: Missing observation is not success.
  • No certainty inflation: Keep suspected and not-tested statuses.
  • No raw leakage: Redact before handoff.

References

Files

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.

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. 28d ago First seen · 53 lines · 46 tokens per session scan A 4ee7225419ae

Subscribe to this mod's changes

cyber-exercise-adjudication is a skill published in the GitHub repository HoangNguyen0403/agent-skills-standard (582 stars, last pushed today), licensed MIT. It adds 46 tokens to every session and 480 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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