common-agent-guardrail…
Define deterministic guardrails for agent tool calls — protected paths, test-file locks during bug fixes, post-edit formatters, production approval gates,…
Captures redacted, provenance-aware cybersecurity observations with shared status fields, independent ground truth, and honest limitations. Use when recording exercise evidence, findings, validation results, or security-review handoffs.
$ npx -y skills add hoangnguyen0403/agent-skills-standard --skill cyber-evidence --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/cyber-evidenceContext preview
The summary Claude sees to decide when to auto-load this skill.
Captures redacted, provenance-aware cybersecurity observations with shared status fields, independent ground truth, and honest limitations. Use when recording exercise evidence, findings, validation results, or security-review handoffs.
name: cyber-evidence
guardrail: true
description: Captures redacted, provenance-aware cybersecurity observations with shared status fields, independent ground truth, and honest limitations. Use when recording exercise evidence, findings, validation results, or security-review handoffs.
metadata:
labels: [cybersecurity, evidence, provenance]
triggers:
keywords: [security evidence, evidence record, redacted evidence, finding status, ground truth, evidence gap]Record what was observed, how it was sourced, and what remains unknown; never turn absence of proof into proof.
cyber-evidence/ ├── SKILL.md ├── references/evidence-record.md └── evals/evals.json
1. Bind record to `engagement_scope_ref`, `skill_version`, and `source`. 2. Capture `observed_at`, observer, method, and evidence references; redact secrets and sensitive payloads. 3. Set exactly one `finding_status`: `confirmed`, `suspected`, `blocked`, `not-tested`, or `false-positive`. 4. State limitations, missing runtime controls, synthetic-data boundaries, and accountable owner. 5. Preserve independently held ground truth; compare it only through an independent adjudicator. 6. Update the canonical `artifacts/security-review.md` when a workflow chain already owns that artifact. Shared record fields: `engagement_scope_ref`, `skill_version`, `source`, `observed_at`, `finding_status`, `evidence_refs`, `limitations`, `accountable_owner`.
The portable SDLC standards layer for AI coding agents. Sync once, then work in your own runtime.
Repo: hoangnguyen0403/agent-skills-standard
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