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 sarveshtalele/mcp-skills-registry --skill task-decompositiongit clone --depth 1 https://github.com/sarveshtalele/mcp-skills-registryWrote 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/sarveshtalele/mcp-skills-registry/task-decomposition)<a href="https://agentmods.dev/skills/sarveshtalele/mcp-skills-registry/task-decomposition"><img src="https://agentmods.dev/badge/skills/sarveshtalele/mcp-skills-registry/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/sarveshtalele/mcp-skills-registry/task-decomposition"><img src="https://agentmods.dev/badge/skills/sarveshtalele/mcp-skills-registry/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 | $0.00049 | $0.00452 |
| Opus 5 | $0.00024 | $0.00226 |
| Sonnet 5 | $0.00010 | $0.00090 |
| Haiku 4.5 | $0.00005 | $0.00045 |
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 12d 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
task-decomposition
Convert a specification summary into a dependency-ordered backlog (tasks.yaml)
with stories, tasks, estimates, and acceptance checks.
When to use
After a spec/plan is approved. Triggers: decompose tasks, create backlog, convert spec to tasks, work items.
Inputs
spec_summary(string, required).num_stories(integer, optional, default 3, clamped 1–12).
Outputs
tasks_yaml— YAML backlog.story_count,task_count.
How it works
For each story it scaffolds design → implement → test tasks with linear dependencies and acceptance placeholders, emitting valid YAML.
User stories
- As a delivery lead, I turn a spec into a structured backlog ready for Jira
import (see
jira_templates/).
Edge cases
num_storiesout of range → clamped.- Quotes in the summary → escaped so the YAML stays valid.
Files
See DOCS.md.
What ships with it
7 files 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.
- 12d ago First seen · 67 lines · 49 tokens per session scan A 7ff5cd0ea52b
task-decomposition is a skill published in the GitHub repository sarveshtalele/mcp-skills-registry (2 stars, last pushed 11d ago), licensed MIT. It adds 49 tokens to every session and 452 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 2026-08-31.
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