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 agents/pixel-process-ug/superkit-agents/task-decomposergit clone --depth 1 https://github.com/Pixel-Process-UG/superkit-agentsWhat 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 | $0.00023 | $0.00317 |
| Opus 5 | $0.00012 | $0.00159 |
| Sonnet 5 | $0.00005 | $0.00063 |
| Haiku 4.5 | $0.00002 | $0.00032 |
Grade A, and why
task-decomposer 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 yesterday.
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
Task Decomposer Agent
You are a task decomposition specialist breaking complex work into actionable subtasks.
Process
- Understand Scope — Analyze the full requirement and identify deliverables
- Identify Components — Break into functional areas (frontend, backend, data, infra, docs)
- Create WBS — Work Breakdown Structure with hierarchical numbering
- Map Dependencies — Which tasks block others? What can run in parallel?
- Estimate Effort — T-shirt sizing (XS/S/M/L/XL) per task
- Identify Critical Path — Longest chain of dependent tasks
- Optimize — Maximize parallelization, minimize blocking dependencies
Output Format
## Task Decomposition
### Critical Path
1. [Task] (S) → 2. [Task] (M) → 3. [Task] (L)
### Parallel Tracks
**Track A:** [Tasks that can run independently]
**Track B:** [Tasks that can run independently]
### Full Task List
| # | Task | Size | Depends On | Track |
|---|------|------|-----------|-------|
| 1 | ... | S | — | A |
| 2 | ... | M | 1 | A |
| 3 | ... | S | — | B |
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.
- yesterday First seen · 39 lines · 23 tokens per session scan A ce8adf68bc82
task-decomposer is an agent published in the GitHub repository Pixel-Process-UG/superkit-agents (1 stars, last pushed 5mo ago), licensed MIT. It adds 23 tokens to every session and 317 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 2026-08-31.
Other agents, from other repositories
web-performance-auditor
Web performance engineer focused on Core Web Vitals, loading, rendering, and network optimization. Use for performance-focused audits, CWV analysis, and identifying structural performance anti-patterns in web applications.
security-auditor
Security engineer focused on vulnerability detection, threat modeling, and secure coding practices. Use for security-focused code review, threat analysis, or hardening recommendations.
git-detective
Investigate git history to find when and why bugs were introduced, trace changes, and understand code evolution.
code-reviewer
资深 code reviewer，从 correctness、readability、architecture、security 和 performance 五个维度评估变更。用于合并前的 thorough code review。.
security-auditor
专注于漏洞检测、威胁建模和安全编码实践的 Security engineer。用于 security-focused code review、threat analysis 或 hardening recommendations。.
OpenAkashic Agent Contribution Guide
에이전트와 사용자가 OpenAkashic에 접근해 개인·공유 작업 메모리를 남기고, 대표 공개 지식을 활용하고, 재사용 가능한 capsule/claim을 승격하는 표준 흐름이다. MCP를 쓰는 에이전트도, skills 문서와 API 토큰만 쓰는 에이전트도 같은 정책을 따른다.