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/synaptiai/agent-capability-standard/decomposenpx skills add synaptiai/agent-capability-standard --skill decomposegit clone --depth 1 https://github.com/synaptiai/agent-capability-standardWrote 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/synaptiai/agent-capability-standard/decompose)<a href="https://agentmods.dev/skills/synaptiai/agent-capability-standard/decompose"><img src="https://agentmods.dev/badge/skills/synaptiai/agent-capability-standard/decompose.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 | $0.00032 | $0.02681 |
| Opus 5 | $0.00016 | $0.01340 |
| Sonnet 5 | $0.00006 | $0.00536 |
| Haiku 4.5 | $0.00003 | $0.00268 |
Grade A, and why
decompose 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 — 386 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Intent
Break down a complex goal into smaller, manageable subgoals with clear boundaries, dependencies, and acceptance criteria. Enable parallel work and incremental progress.
Success criteria:
- Goal fully decomposed (no gaps)
- Subgoals are independently verifiable
- Dependencies are explicit
- Acceptance criteria are testable
- Decomposition depth is appropriate
Compatible schemas:
schemas/output_schema.yaml
Inputs
| Parameter | Required | Type | Description |
|---|---|---|---|
goal |
Yes | string or object | The goal to decompose |
depth |
No | integer | Maximum decomposition depth (default: 3) |
constraints |
No | object | Boundaries, limitations, scope |
granularity |
No | string | Target size: epic, story, task (default: story) |
context |
No | object | Background information |
Procedure
-
Understand the goal: Clarify what needs to be achieved
- Parse the goal statement
- Identify success criteria
- Note implicit requirements
- Determine scope boundaries
-
Identify major components: Find natural divisions
- Functional areas
- Phases or stages
- User journeys
- Technical layers
-
Create subgoals: Define each component
- Clear, specific objective
- Bounded scope
- Measurable outcome
- Independent when possible
-
Define dependencies: Map relationships
- Which subgoals block others?
- Which can proceed in parallel?
- Are there shared resources?
- Create dependency graph
-
Add acceptance criteria: Specify done conditions
- Testable conditions
- Measurable outcomes
- Quality requirements
- Edge case handling
-
Validate completeness: Check coverage
- Do subgoals cover entire goal?
- Any gaps or overlaps?
- Are boundaries clear?
- Is granularity consistent?
-
Recurse if needed: Decompose large subgoals
- Check against target granularity
- Decompose subgoals that are too large
- Maintain consistent depth
- Stop when atomic enough
What ships with it
2 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.
- 4d ago First seen · 386 lines · 32 tokens per session scan A 983fa6a82889
decompose is a skill published in the GitHub repository synaptiai/agent-capability-standard (4 stars, last pushed 4d ago), licensed Apache-2.0. It adds 32 tokens to every session and 2,681 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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