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.
git clone --depth 1 https://github.com/HoangNguyen0403/agent-skills-standardWrote 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.
[](https://agentmods.dev/commands/hoangnguyen0403/agent-skills-standard/traceability-audit)<a href="https://agentmods.dev/commands/hoangnguyen0403/agent-skills-standard/traceability-audit"><img src="https://agentmods.dev/badge/commands/hoangnguyen0403/agent-skills-standard/traceability-audit/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.
<a href="https://agentmods.dev/commands/hoangnguyen0403/agent-skills-standard/traceability-audit"><img src="https://agentmods.dev/badge/commands/hoangnguyen0403/agent-skills-standard/traceability-audit.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00019 | $0.00530 |
| Opus 5 | $0.00010 | $0.00265 |
| Sonnet 5 | $0.00004 | $0.00106 |
| Haiku 4.5 | $0.00002 | $0.00053 |
Grade A, and why
traceability-audit 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 6d 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.
How it starts
The opening of the file, as written. The whole thing — 65 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Traceability Audit Workflow
Goal: Prove every acceptance criterion has implementation and verification evidence before release or handoff.
Steps
- Load sources:
- BRD-lite, PRD, SRS/FRS, AC list, implementation plan, changed files, tests, walkthrough, PR comments, release notes.
- Jira/GitHub/GitLab/ADO/Zephyr/Confluence MCPs when configured; otherwise use exported files and local evidence.
- Build trace map:
- BRD objective -> PRD requirement ID.
- PRD requirement ID -> SRS/FRS contract.
- AC -> implementation file/function.
- AC -> automated test, manual/Zephyr TC, or verification step.
- Release note -> shipped user-visible change.
- Classify each AC:
- Covered: code and verification evidence exists.
- Partial: code or evidence incomplete.
- Missing: no implementation or no verification.
- Out of scope: explicitly deferred with owner/link.
- Flag gaps:
- Missing requirement mapping.
- Missing AC implementation.
- Missing test or manual coverage.
- Release note missing shipped user impact.
Runtime Contract
- Use pre-release or handoff to prove requirement-to-evidence coverage.
- Required inputs: PRD/SRS with AC list plus implementation, test, and release artifacts to map against.
- Return BLOCKED only when no requirement or AC list exists to trace.
Handoff Payload
slug, requirement map, gap classification, outcome report, next workflow.
Blocking Questions
- Ask max 3 at a time with a recommended default and 2-3 options.
Output Template
# Traceability Audit
## Summary
## Requirement Map
| Requirement | SRS/FRS Contract | Verification | Status |
| --- | --- | --- | --- |
| [REQ] | [contract] | [test/evidence] | [status] |
## Gaps
## Outcome Report
feature_status: implemented | partially_implemented | blocked
requirement_trace: BRD-OBJ-* -> REQ-* -> AC-* -> SRS-* -> evidence
completed_evidence: []; missing_evidence: []; decision_needed: []; recommended_next_workflow: implement-feature | dev-fix | deploy-release
## Next Workflow
## Cost Report
Call `get_session_cost(workflow="traceability-audit")` before final handoff.
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.
- 6d ago First seen · 65 lines · 19 tokens per session scan A 21104f6f32bb
traceability-audit is a command published in the GitHub repository HoangNguyen0403/agent-skills-standard (565 stars, last pushed 3d ago), licensed MIT. It adds 19 tokens to every session and 530 once invoked, about $0.0001 per session on Opus 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 2026-09-06.
Other commands, from other repositories
plan
PM planning workflow that gathers requirements, decomposes them into prioritized tasks, defines API contracts, and produces both a machine-readable plan and a human-readable tracker in docs/plans/.
schedule
Register a scheduled agent job from a natural-language schedule request — parse the interval, resolve agent-id + prompt + workspace, call oma schedule:add, then confirm with oma schedule:list.
coordinate-pro
Thorough version of coordinate - high-quality development workflow with 11 review steps out of 17.
coordinate
Coordinate multiple agents for a complex multi-domain project using PM planning, parallel agent spawning, and QA review.
exec-plan
Create, manage, and track execution plans as first-class repository artifacts in docs/exec-plans/.
work
Coordinate multiple agents for a complex multi-domain project using PM planning, parallel agent spawning, and QA review.