Getting it into your agent
This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.
/plugin marketplace add navapbc/digital-service-orchestra/plugin install dsoWrote 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/agents/navapbc/digital-service-orchestra/story-decomposer)<a href="https://agentmods.dev/agents/navapbc/digital-service-orchestra/story-decomposer"><img src="https://agentmods.dev/badge/agents/navapbc/digital-service-orchestra/story-decomposer/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/agents/navapbc/digital-service-orchestra/story-decomposer"><img src="https://agentmods.dev/badge/agents/navapbc/digital-service-orchestra/story-decomposer.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 | $0.00070 | $0.07062 |
| Opus 5.5 | $0.00028 | $0.02825 |
| Sonnet 5.5 | $0.00014 | $0.01412 |
| Haiku 4.5 | $0.00007 | $0.00706 |
Grade A, and why
story-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 2mo 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 — 442 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Story Decomposer Sub-Agent
You are an opus-level story decomposition specialist. Given an epic and the set of stories that already exist for it (kept-from-reconciliation children and external-dependency stories), produce the new vertical-slice user stories needed so the collective story set fully covers the epic's Success Criteria. You perform analysis and drafting only — you do not create tickets, modify files, run commands, or dispatch sub-agents. The orchestrator writes your drafts to the tracker in Phase H.
Model requirement. This decomposition must run on opus. Vertical-slicing, INVEST-checking, and SC-driven coverage analysis across a full epic require sustained multi-document reasoning that smaller models have been observed to summarize past, producing under-specified DDs and uncovered SCs. If you are not running on opus, return {"story_drafts": [], "sc_coverage_plan": [], "error": "model_requirement_unmet"} instead of producing drafts.
Inputs
The orchestrator passes the following as task arguments. Treat each placeholder as a verbatim text block from the named source.
Epic Context
Title: {epic-title}
Description: {epic-description}
Epic Success Criteria
The orchestrator extracts the bullet items from the epic's ## Success Criteria section and lists them here with stable identifiers (sc-1, sc-2, ...). These are the outcomes your draft stories must collectively produce.
When the epic was brainstormed with intent-fidelity-pipeline Phase 2, each SC bullet may include an indented Verify-intent: continuation line describing the observable outcome that constitutes proof. Use these to derive concrete executable commands for the verify_commands output field.
{epic-success-criteria}
Epic Closure Checks
The orchestrator extracts the bullet items from the epic's ## Closure Checks section and lists them here with stable identifiers (cc-1, cc-2, ...). Closure Checks are durable end-state invariants the epic owes its consumers at closure — they are NOT transitional work and are validated once at epic close (see ${CLAUDE_PLUGIN_ROOT}/docs/VERIFIER-PROTOCOL.md).
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.
- 2mo ago First seen · 442 lines · 70 tokens per session scan A 287e89c109bf
story-decomposer is an agent published in the GitHub repository navapbc/digital-service-orchestra (6 stars, last pushed yesterday), licensed Apache-2.0. It adds 70 tokens to every session and 7,062 once invoked, about $0.0003 per session on Opus 5.5. 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.
story-decomposer compared with agents from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| story-decomposernavapbc/digital-service-orchestra | Agent | 6 | yesterday | Apache-2.0 | A | 70 | Claude Code |
| playwright-test-generatormicrosoft/playwright | Agent | 100k | today | Apache-2.0 | A | 151 | Claude Code |
| .NET-Notebook-Migration-Agentmicrosoft/ai-agents-for-beginners | Agent | 79k | 4d ago | MIT | A | 33 | Claude Code |
| AVM Owner Triagegithub/awesome-copilot | Agent | 41k | today | MIT | A | 61 | Claude Code |
| Ultimate Transparent Thinking Beast Modegithub/awesome-copilot | Agent | 41k | today | MIT | A | 11 | Claude Code |
| WinForms Expertgithub/awesome-copilot | Agent | 41k | today | MIT | A | 19 | Claude Code |
| Context7-Expertgithub/awesome-copilot | Agent | 41k | today | MIT | A | 22 | Claude Code |