agentmods.dev

cyber-exercise

cyber-exercise is a skill for Codex from HoangNguyen0403/agent-skills-standard. It costs 36 tokens per session (924 once invoked), scanned A, original, MIT.

A bounded cybersecurity exercise workflow for planning and reviewing an authorized security exercise. It checks scope, approvals, tools, credentials, logging, cancellation controls, evidence, and independent decisions.

In plain words
What is it for?
Use it to define exercise objectives and exclusions, prepare approved activities, run preflight checks, and record decisions and evidence.
Why use it?
It provides a safe offline path when live controls are unavailable and prevents an exercise from being mistaken for a compliance certification or permission to change systems.

Skill for Codex

Written for Codex: installed under .codex/.

not rated 582repo +4 changed yesterday A scan 36 tokens original MIT

Good fit Use it to define exercise objectives and exclusions, prepare approved activities, run preflight checks, and record decisions and evidence.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/hoangnguyen0403/agent-skills-standard/cyber-exercise
View source ↗ HoangNguyen0403/agent-skills-standard npmjs.com
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
Clone the repo
git clone --depth 1 https://github.com/HoangNguyen0403/agent-skills-standard

Made for: 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

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/hoangnguyen0403/agent-skills-standard/cyber-exercise"><img src="https://agentmods.dev/badge/skills/hoangnguyen0403/agent-skills-standard/cyber-exercise.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 36 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 924 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 $0.00036 $0.00924
Opus 5.5 $0.00014 $0.00370
Sonnet 5.5 $0.00007 $0.00185
Haiku 4.5 $0.00004 $0.00092

Measured yesterday against content hash b7dd3b284ade, 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 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.

.codex/skills/cyber-exercise/SKILL.md · 80 lines

How it starts

The opening of the file, as written. The whole thing — 80 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Cyber Exercise Skill

[!IMPORTANT] Run a bounded cybersecurity exercise workflow with authorization, runtime, control, evidence, and independent adjudication gates; supports safe offline planning and optional isolated lab validation.

Optional args: slug=, ticket=<id/url>, mode=interactive|autonomous|channel, channel=, auto_continue=true|false, profile=business|hybrid|technical.

Instructions

When the user asks to perform this workflow, execute the following steps:

Cyber Exercise

Goal: Coordinate an authorized, evidence-led exercise across analysis, replay, isolated lab validation, or defensive verification without conflating evidence or treating white-team control as host enforcement.

Steps

  1. Plan: Load cyber-engagement-planning; define objective, scope, exclusions, roles, synthetic-data boundary, evidence owner, expiry, stop, and restart terms.
  2. Authorize: Load cyber-authorization; bind engagement_scope_ref, approved actions, exclusions, window, approver, and runtime support.
  3. Preflight: Verify tool allowlists, filesystem/network boundaries, logging, and cancellation controls. If unsupported, mark active steps blocked and proceed with offline planning and analysis.
  4. Control: Load cyber-exercise-control; release injects, log decisions, enforce stop triggers (expiry, drift, unsafe impact), and require fresh gates before restart.
  5. Route and Validate: Select exactly one mode per step (analysis, replay, isolated-lab-validation, defensive-verification):
    • Analysis: Load cyber-scoped-validation; inspect supplied artifacts and code offline.
    • Replay: Load cyber-detection-validation; replay synthetic telemetry, reporting only pipeline stages actually exercised.
    • Isolated Lab Validation: Load cyber-lab-validation; validate bounded claims on disposable synthetic local fixtures with action-specific authorization and proven host isolation.
    • Defensive Verification: Load cyber-detection-validation under active effects gate.
  6. Isolate and Continue: Isolate blocked steps (blocked, stopped, failed). Mark dependent steps dependency-blocked with evidence-missing. Continue independent permitted tasks (remediation, reporting) without disguised retries or fabricated inputs.
  7. Adjudicate: Load cyber-exercise-adjudication; compare redacted evidence with independent ground truth. Classify findings (confirmed, suspected, blocked, not-tested, false-positive).
  8. Report: Load cyber-evidence; record per-step states, mode, fidelity limits, and findings. Update artifacts/security-review.md when in scope.

Read the full file on GitHub · 80 lines

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. yesterday Changed · +9 lines b7dd3b284ade
  2. 28d ago Changed · +1 lines b18cc47e525e
  3. 1mo ago First seen · 70 lines · 36 tokens per session scan A 4a5216d50bac

Subscribe to this mod's changes

cyber-exercise is a skill published in the GitHub repository HoangNguyen0403/agent-skills-standard (582 stars, last pushed today), licensed MIT. It adds 36 tokens to every session and 924 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 2026-09-24.

PlanningReactSecuritybest-practicescoding-standardsflutternestjsnextjs
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