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-workflow-orchestratornpx skills add avksp/agent-lifecycle-kit --skill agent-workflow-orchestratorgit 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-workflow-orchestrator)<a href="https://agentmods.dev/skills/avksp/agent-lifecycle-kit/agent-workflow-orchestrator"><img src="https://agentmods.dev/badge/skills/avksp/agent-lifecycle-kit/agent-workflow-orchestrator.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 5.1 | $0.00033 | $0.01711 |
| Opus 5 | $0.00016 | $0.00856 |
| Sonnet 5 | $0.00007 | $0.00342 |
| Haiku 4.5 | $0.00003 | $0.00171 |
Grade A, and why
agent-workflow-orchestrator 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 — 160 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Agent workflow orchestrator
Drive the complete lifecycle with this skill. The controller is host-neutral: skills define semantics; adapters own native questions, approvals, tools, launch, waiting, cancellation and telemetry.
Lifecycle
- Load existing durable state when present. Do not reconstruct authority from chat.
- Clarify only decisions that materially change behavior, scope, safety, architecture, ownership, evidence, or external authority.
- Route planning to
agent-first-planning. - Route every candidate specification or plan to independent review through
audit-agent-plan; refine until the freeze verdict passes or blocks. - Freeze only reviewed matching inputs.
- Compile packets with
agent-plan-to-workers. - Respect execution mode: plan-only, approval-required, or auto-after-freeze.
- Launch only dependency-ready packets within frozen parallelism.
- Run controller-owned validation before launch and after attempts when the plan requires it.
- Audit every task attempt with
audit-plan-implementationbefore acceptance. - Route implementation/test/evidence defects to bounded remediation. Route plan gaps, write-set gaps, architecture changes, or contract changes to reopen and refreeze.
- After all required tasks are accepted, run final implementation audit and publish completion only from a reproducible proof.
For remediation require a frozen retry budget, independent REWORK evidence
and open finding IDs; in v4 use workflow task-review-apply (with
task-rework as compatibility wrapper). Never edit state manually.
Before each task-result, put a current workflow task-snapshot claim in the
result. Later code changes require a new claim and result.
workflow continue applies one projected revision and action digest. For
sequences add --until-blocked --apply, bundle, lock, caps and --out. It
replaces no validator or transition; stop at external authority.
For adapter-backed work, prefer agent-lifecycle start --adapter <id>. It
requires one task source or --resume <session-id>. Raw input in auto,
research, plan or review creates draft intake only; it cannot claim
lifecycle coverage or start implementation. Review recommendations are advice
until confirmed by the operator or reviewed plan. Only --mode implement may
consume a fully bound frozen request. --resume accepts stored ALK session
identity, never a guessed host conversation id. Lower-level atomic commands are
adapter task start, adapter run and adapter session resume;
adapter session start only records WAITING_FOR_TASK. Native launch remains
descriptor-driven and host-owned.
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 Changed · -1 lines b3ec79e0280c
- 5d ago First seen · 161 lines · 33 tokens per session scan A 229647720e31
agent-workflow-orchestrator is a skill published in the GitHub repository avksp/agent-lifecycle-kit (18 stars, last pushed today), licensed Apache-2.0. It adds 33 tokens to every session and 1,711 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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