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 paruff/uFawkesAI --skill task-decompositiongit clone --depth 1 https://github.com/paruff/uFawkesAIWrote 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/paruff/ufawkesai/task-decomposition)<a href="https://agentmods.dev/skills/paruff/ufawkesai/task-decomposition"><img src="https://agentmods.dev/badge/skills/paruff/ufawkesai/task-decomposition/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/paruff/ufawkesai/task-decomposition"><img src="https://agentmods.dev/badge/skills/paruff/ufawkesai/task-decomposition.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 | $0.00029 | $0.00510 |
| Opus 5 | $0.00015 | $0.00255 |
| Sonnet 5 | $0.00006 | $0.00102 |
| Haiku 4.5 | $0.00003 | $0.00051 |
Grade A, and why
task-decomposition 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 8d 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
Skill: Task Decomposition
Load trigger:
"load task-decomposition skill"> DORA: Cap 3 (AI-Accessible Internal Data) Token cost: Low
Purpose
Break the specification and design into clear, actionable tasks and subtasks.
Responsibilities
- Identify major work units from spec and design
- Break work into atomic, buildable subtasks
- Ensure each task maps to acceptance criteria
- Produce a structured task list
Inputs
specification.mddesign.md
Outputs
tasks.json
Decomposition Rules
Atomicity
- Each task is independently completable
- Each task produces a verifiable output
- Each task can be implemented in a single PR (≤ 400 lines)
- No task depends on work from multiple other tasks simultaneously
Completeness
- All spec requirements covered by tasks
- All design decisions reflected in tasks
- No orphaned requirements (requirement → task mapping clear)
- Edge cases and error handling included as tasks
Clarity
- Each task has a single, unambiguous goal
- Acceptance criteria are testable
- File paths and components are named explicitly
- Constraints and out-of-scope items documented
Task Format
{
"task_id": "TASK-NNN",
"title": "Short imperative title",
"description": "What this task accomplishes",
"acceptance_criteria": ["Specific, testable assertion"],
"context_files": ["path/to/file — reason"],
"estimated_lines": 150,
"assigned_agent": "build | test | docs | security",
"depends_on": ["TASK-NNN"],
"dora_capability": "Cap N — Name"
}
Success Criteria
- Tasks are complete, atomic, and unambiguous
- Every spec requirement maps to at least one task
- No task exceeds 400 changed lines
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.
- 8d ago First seen · 80 lines · 29 tokens per session scan A 0df81bf1f137
task-decomposition is a skill published in the GitHub repository paruff/uFawkesAI (2 stars, last pushed 19d ago), licensed MIT. It adds 29 tokens to every session and 510 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 2026-09-03.
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