agent-runtime-validati…
Plans and evaluates bounded runtime tests of AI agents, tools, memory, hooks, approvals, and scope enforcement. Use when static…
Correlates supplied sanitized incident observations with separately approved isolated defensive-validation receipts across prevent, observe, detect, contain, and recover. Use for defensive learning comparison without live response, hunting, technique design or execution,
Claude Code
$ npx -y skills add zero-lab-ai/skills --skill incident-validation-correlation --agent claude-code
Codex
$ npx skills add zero-lab-ai/skills --skill incident-validation-correlation -a codex -y
Cursor
$ npx skills add zero-lab-ai/skills --skill incident-validation-correlation -a cursor -y
Gemini CLI
$ npx skills add zero-lab-ai/skills --skill incident-validation-correlation -a gemini-cli -y
GitHub Copilot
$ npx skills add zero-lab-ai/skills --skill incident-validation-correlation -a github-copilot -y
OpenCode
$ npx skills add zero-lab-ai/skills --skill incident-validation-correlation -a opencode -y
Windsurf
$ npx skills add zero-lab-ai/skills --skill incident-validation-correlation -a windsurf -y
name: incident-validation-correlation description: "Correlates supplied sanitized incident observations with separately approved isolated defensive-validation receipts across prevent, observe, detect, contain, and recover. Use for defensive learning comparison without live response, hunting, technique design or execution, detection authoring, case management, findings, or reporting." allowed-tools: Read Grep Glob
Answer one question: is an exact, pre-approved isolated validation genuinely comparable to a supplied sanitized incident observation, and what defensive learning survives? A complete ledger does not close an incident, verify remediation, establish attribution or scope, or prove coverage.
Never contact assets, identities, sources, responders, or attackers. Never hunt, respond, validate production, design or execute techniques, author detections, manage cases, create findings, or write reports. Reject hostnames, addresses, accounts, tenants, domains, paths, victim identities, IOCs, raw events, packets, memory, malware, credentials, tickets, certificates, commands, scripts, queries, rules, payloads, technique procedures, tool syntax, infrastructure, and operational timelines. Use sanitized opaque references and digests only.
1. Accept only supplied incident packages and supplied, immutable, pre-approved validation cases and receipts. 2. Stop on restricted content. Never quote a rejected value. 3. Preserve separate incident acceptance and validation execution authority. 4. Report only generic diagnostic codes; never reflect restricted values. 5. Require exactly one observation and one pre-approved case for each supplied learning item and objective. 6. Require observation time before learning creation and independent validation approval after learning creation. 7. Require exact semantic-equivalence binding across observation class, immutable fixture, objective, environment limitations, and expected benign effect. Taxonomy similarity is not equivalence. 8. Mark weak equivalence `not-comparable`. Never claim that a lab reproduces a production incident or that production predicts lab behavior. 9. Keep prevent, observe, detect, contain, and recover comparisons separate. 10. Keep observation, execution, benign-effect, telemetry, alert, containment, recovery, cleanup, custody, and policy evidence roles separate. Require the closed role/outcome matrix; labels never override contradictory evidence. Consume every supplied authority and environment exactly once. 11. An alert is not complete telemetry or control evidence. A validation alert is not incident reproduction. 12. Treat alert absence under unhealthy telemetry as `inconclusive`. 13. Accept only isolated-lab or dedicated-test-tenant validation receipts. 14. Treat a fired stop as terminal. Allow only later cleanup, custody, and withdrawal; retry needs a new separately approved case. Authority expiry, revocation, fixture drift, and environment drift are also terminal: no later execution, evidence, or result is valid. 15. Require exact current policy proof and a closed NA reason code for not-applicable. Keep every objective in the denominator. 16. Keep handoff occurrence, approval, authority, result, and withdrawal separate with typed exact receipts. Expiry, revocation, fixture drift, environment drift, and a fired stop require withdrawal. A handoff never grants authority. Custody precedes every consuming result, gap, or handoff receipt; withdrawal evidence is exact for its trigger. 17. Interpret `complete` as correlation complete only. Never call the incident closed or remediation verified. 18. Return comparison states, cycle states, learning-gap IDs, and handoff states. Never assign severity, compliance, or detection coverage.
State the ledger identifier, exact objective denominator, comparison and cycle counts, learning gaps, and handoff states. Add: “Correlation consistency only; no live interaction, incident closure, remediation verification, attribution, severity, or coverage claim occurred.”
Portable, evidence-bound security skills for authorized defensive assessment, penetration testing, red teaming, detection engineering, purple teaming, and engagement operations. The collection contains 56 skills in 10 installable plugins from zero-lab.ai.
Plans and evaluates bounded runtime tests of AI agents, tools, memory, hooks, approvals, and scope enforcement. Use when static…
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