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/agent-plan-to-workersnpx skills add avksp/agent-lifecycle-kit --skill agent-plan-to-workersgit clone --depth 1 https://github.com/avksp/agent-lifecycle-kitWrote 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/skills/avksp/agent-lifecycle-kit/agent-plan-to-workers)<a href="https://agentmods.dev/skills/avksp/agent-lifecycle-kit/agent-plan-to-workers"><img src="https://agentmods.dev/badge/skills/avksp/agent-lifecycle-kit/agent-plan-to-workers.svg" alt="Measured on agentmods" 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 | $0.00028 | $0.00365 |
| Opus 5 | $0.00014 | $0.00182 |
| Sonnet 5 | $0.00006 | $0.00073 |
| Haiku 4.5 | $0.00003 | $0.00036 |
Grade A, and why
agent-plan-to-workers 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 5d 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.
What it actually says
Agent plan to workers
Use this skill after a plan is reviewed and frozen. The task is compilation: project a frozen plan into worker packets without redesigning it.
Contract
- Verify the plan manifest, lock, source revision, plan digest, and review verdict.
- Reject unfrozen, mismatched, or stale plan inputs.
- Build dependency waves from the frozen DAG.
- Emit one packet per executable workstream with: task id, owner, reviewer, dependencies, goal, planned items, allowed writes, forbidden writes, read-only context, validation command ids, evidence ids, budget limits, result path, review path, and remediation route.
- Emit a controller validation descriptor for controller-owned gates.
- Keep lead-owned integration and shared seams explicit; do not smuggle them into worker write sets.
- Use deterministic ordering and content-addressed packet identity.
Rules
- Do not change requirements, acceptance criteria, write ownership, or gates.
- Do not add implementation advice that conflicts with the frozen plan.
- Do not include secrets, private keys, credentials, or host-private state.
- Keep packet context minimal: active task, referenced contracts, and exact evidence route.
- For compact mode, emit packets that fit the target profile or report a split requirement before execution.
- Fail closed if a worker cannot be assigned a complete ownership and evidence contract.
Output
Return:
- packet index with frozen plan identity;
- dependency waves;
- task packet paths and digests;
- controller validation descriptor;
- unresolved compile findings, if any.
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.
- 5d ago First seen · 47 lines · 28 tokens per session scan A f7d34afc28c9
agent-plan-to-workers is a skill published in the GitHub repository avksp/agent-lifecycle-kit (18 stars, last pushed today), licensed Apache-2.0. It adds 28 tokens to every session and 365 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 2026-08-30.
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