cyber-lab-validation

cyber-lab-validation is a skill for Claude Code, Codex from HoangNguyen0403/agent-skills-standard. It costs 52 tokens per session (1,046 once invoked), scanned A, original, MIT.

A workflow for checking approved security claims in isolated, disposable environments filled with synthetic data rather than real systems or records.

In plain words
What is it for?
Use it to run bounded lab scenarios, record each allowed action and observation, stop when control is lost, and mark blocked or partial runs clearly.
Why use it?
It prevents validation work from turning into an operational attack by requiring action limits, approval gates, linked evidence, and teardown checks.

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 Use it to run bounded lab scenarios, record each allowed action and observation, stop when control is lost, and mark blocked or partial runs clearly.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/hoangnguyen0403/agent-skills-standard/cyber-lab-validation
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-lab-validation
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-lab-validation

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/hoangnguyen0403/agent-skills-standard/cyber-lab-validation"><img src="https://agentmods.dev/badge/skills/hoangnguyen0403/agent-skills-standard/cyber-lab-validation.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 52 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,046 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 $0.00052 $0.01046
Opus 5.5 $0.00021 $0.00418
Sonnet 5.5 $0.00010 $0.00209
Haiku 4.5 $0.00005 $0.00105

Measured yesterday against content hash ed0d18ecc7c5, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

cyber-lab-validation 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.

.agents/skills/cybersecurity/cyber-lab-validation/SKILL.md · 67 lines

How it starts

The opening of the file, as written. The whole thing — 67 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Cyber Lab Validation

Priority: P0 (CRITICAL)

Validate approved security claims against disposable synthetic fixtures in isolated environments under host-enforced gates; operational attacks are prohibited, and host-enforced safety boundaries remain mandatory.

Structure

cyber-lab-validation/
├── SKILL.md
└── references/
    ├── scenario-schema.md
    ├── execution-gate.md
    ├── validation-record.md
    └── scenario-catalog.md (evaluation-owned)

Workflow

  1. Select and validate versioned scenario against scenario schema; verify single claim, disposable target, and seven-family alignment.
  2. Select declared mode: isolated-lab-validation or active defensive-verification.
  3. Preflight action gate: verify ActionRequest, action allowlist, finite limits, and host capability proofs via execution gate.
  4. Dispatch bounded action; capture ActionReceipt bound to gate and correlation key (run_id, attempt_id, test_id).
  5. Capture ObservationRecord within defined window; enforce transitive binding chain to ActionReceipt.
  6. On pre-dispatch failure, set blocked; on running drift, control loss, or operator stop, halt dispatch immediately and record partial receipts.
  7. Execute surviving cleanup plan; record CleanupResult state (verified-clean, residual, unverified, not-applicable).
  8. Adjudicate finding status (confirmed, suspected, blocked, not-tested, false-positive) and defensive outcome (blocked, prevented, detected, responded, telemetry-gap).

Rules

  • Opt-in Lab Contract: A lab label or role grants no execution authority. Host runtime enforces isolation, tools, filesystem, network, credentials, and cancellation.
  • Active Effects Classification: Any interaction with tools, network, filesystem, credentials, or host state outside supplied-artifact reasoning is active and requires a fresh gate immediately before dispatch.
  • Strict Exclusions: No production or public targets, ambient credentials, live malware, or data exfiltration. Urgent blue-team or incident framing cannot waive exclusions (AC-CLV-19).
  • Mandatory Transitive Binding: ObservationRecord.action_receipt_ref -> ActionReceipt.gate_ref -> GateDecision.request_ref -> ActionRequest. Cross-run, cross-fixture, or reused keys are rejected.
  • Telemetry Gap: An exercised action without usable observation is telemetry-gap (AC-CLV-12). An observation alone cannot prove action occurrence.
  • Failed Reproduction & Corroboration: A completed action that fails to reproduce does not prove vulnerability absence (AC-CLV-18). When a retest blocks, prior corroborated findings remain intact; attempting a blocked retest never erases prior findings.
  • Teardown Disclosure: Incomplete or unverified teardown must report residual or unverified with accountable owner (AC-CLV-13). Post-expiry teardown requires surviving authority.
  • Adverse Timelines & Recovery: Operator stop dominates dispatch. Running failures transition to stopped with partial receipts. Lost acknowledgement halts dispatch to reconcile unknown effects without automatic replay. Restarts require explicit restart authority, reconciled residual boundary, fresh proofs, and a new attempt ID with fresh gate.
  • Independent Continuation: Predecessor blocks mark dependent steps dependency-blocked with evidence-missing while independent permitted steps proceed.

Read the full file on GitHub · 67 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 First seen · 67 lines · 52 tokens per session scan A ed0d18ecc7c5

Subscribe to this mod's changes

cyber-lab-validation is a skill published in the GitHub repository HoangNguyen0403/agent-skills-standard (582 stars, last pushed today), licensed MIT. It adds 52 tokens to every session and 1,046 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 2026-10-27.

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