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.
npx agentmods add skills/avksp/agent-lifecycle-kit/audit-plan-implementationnpx skills add avksp/agent-lifecycle-kit --skill audit-plan-implementationgit clone --depth 1 https://github.com/avksp/agent-lifecycle-kitWhat 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 | $0.00031 | $0.01303 |
| Opus 5 | $0.00015 | $0.00651 |
| Sonnet 5 | $0.00006 | $0.00261 |
| Haiku 4.5 | $0.00003 | $0.00130 |
Grade A, and why
audit-plan-implementation 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 2d 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 — 142 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Audit plan implementation
Use this skill for findings-first verification after implementation work. The default action is audit only; fixes require an explicit remediation request or a controller policy that allows bounded in-scope remediation.
Inputs
Read the frozen developer overview, plan manifest, lock, task packet, write-set contract, acceptance criteria, evidence rules, task result, implementation diff, and previous reviews. In final mode, read all accepted task results, reviews, evidence receipts, and the workflow state.
When the installed CLI exposes the implementation audit facade, use it as the typed evidence producer:
agent-lifecycle audit implementation \
--manifest work/plans/package/plan.manifest.json \
--state run.state.json \
--task WS-01 \
--result work/WS-01/attempt-1/task-result.json \
--review work/WS-01/attempt-1/task-review.json \
--review-mesh-quorum work/review-mesh/implementation-quorum.json \
--out work/WS-01/attempt-1/implementation-audit.json
agent-lifecycle audit final-implementation \
--manifest work/plans/package/plan.manifest.json \
--state run.state.json \
--report work/WS-01/attempt-1/implementation-audit.json \
--out final/final-implementation-audit.json
The command output is the machine-readable source for acceptance gates. The skill still supplies semantic review guidance when a human or host reviewer must interpret findings.
Use --review-mesh-quorum only when the frozen plan requires Review Mesh for
the audited phase. Missing or failed quorum evidence is a blocking audit
finding; optional Review Mesh output remains advisory.
For operator-facing audit setup, point beginners to
docs/guides/lifecycle-cookbook.md#audit-implementation-evidence and keep this
skill focused on findings-first semantic verification plus typed audit
receipts.
Task audit
For each planned item, verify:
- expected behavior and acceptance criteria;
- actual changed files and their owner;
- forbidden-write and read-only-path compliance;
- tests, command receipts, artifact ids, hashes, and freshness;
- evidence limits and budget use;
- architecture, security, performance, release, and adapter constraints;
- task result identity bound to run, task, attempt, packet, plan, source, and reviewer.
- task result file set and content digests recomputed from the current Git worktree and frozen source revision; caller-provided path lists are comparison inputs, not freshness authority.
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.
- 2d ago First seen · 142 lines · 31 tokens per session scan A 6dc7f14c8888
audit-plan-implementation is a skill published in the GitHub repository avksp/agent-lifecycle-kit (18 stars, last pushed 2d ago), licensed Apache-2.0. It adds 31 tokens to every session and 1,303 once invoked, about $0.0002 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 2026-08-30.
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