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 skills add WenyuChiou/agent-collab-skills --skill agent-task-splittergit clone --depth 1 https://github.com/WenyuChiou/agent-collab-skillsWrote 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/wenyuchiou/agent-collab-skills/agent-task-splitter)<a href="https://agentmods.dev/skills/wenyuchiou/agent-collab-skills/agent-task-splitter"><img src="https://agentmods.dev/badge/skills/wenyuchiou/agent-collab-skills/agent-task-splitter/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/skills/wenyuchiou/agent-collab-skills/agent-task-splitter"><img src="https://agentmods.dev/badge/skills/wenyuchiou/agent-collab-skills/agent-task-splitter.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00067 | $0.01290 |
| Opus 5 | $0.00034 | $0.00645 |
| Sonnet 5 | $0.00013 | $0.00258 |
| Haiku 4.5 | $0.00007 | $0.00129 |
Grade A, and why
agent-task-splitter 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 4d 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 — 173 lines — stays where its author put it; the contents beside it link to each section on GitHub.
agent-task-splitter
Turn one approved goal into a provider-neutral role DAG and bounded task packets. This skill plans; it does not spawn agents.
Read references/task_splitter_heuristics.md when role selection or DAG shape is not obvious. Read ../../docs/public-harness-contract.md for schemas and artifact policy.
Roles
- primary-agent: owns scope, architecture, and human communication.
- delegated-executor: performs bounded implementation or mechanical work.
- reviewer: independently tests and judges a stable candidate.
- synthesizer: structures completed inputs without reopening discovery.
The host chooses the adapter for each role. Do not put provider or model names in the public role field.
Use this skill when
- Two or more independent task packets can run in parallel.
- Implementation and independent review must be separate.
- A fan-out/fan-in or diamond DAG materially shortens the critical path.
- Several results require explicit reconciliation and acceptance.
Do not split exploratory debugging before the cause is known. Do not split a small coherent change merely to create agent activity.
Inputs
- Goal and authorized scope.
- Success criteria.
- Files, systems, and external actions in/out of scope.
- Available policy_ref and checkpoint_ref when any child may be spawned.
- Existing recorded human decisions and evidence refs.
If scope or acceptance is ambiguous, ask one focused question. Do not invent permission for external writes.
Workflow
- Confirm the repository/worktree root.
- Restate the goal and scope.
- Identify task boundaries by work character and evidence dependencies.
- Assign one role to each task.
- Build an acyclic dependency graph.
- Partition write scope. Two parallel writers must not own the same file.
- Add at least one runnable or objectively checkable success criterion per task.
- Write .coord/plan.yml using schema_version 2.
- Write .ai/task__.md for each non-inline task.
- Return the ready task ids and dependency order. Do not spawn.
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 4d ago Changed · +6 lines 53d5e21c9116
- 6d ago Changed · -531 lines · -79 tokens per session 1bde454a79a3
- 9d ago First seen · 698 lines · 146 tokens per session scan A c62c881c8145
agent-task-splitter is a skill published in the GitHub repository WenyuChiou/agent-collab-skills (26 stars, last pushed 4d ago), licensed MIT. It adds 67 tokens to every session and 1,290 once invoked, about $0.0003 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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