Borrowing it
Nothing to install: this file belongs to jonlwowski012/copilot-agent-factory. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/jonlwowski012/copilot-agent-factory/main/.github/agents/story-agent.agent.mdgit clone --depth 1 https://github.com/jonlwowski012/copilot-agent-factoryWrote 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/jonlwowski012/copilot-agent-factory/story-agent)<a href="https://agentmods.dev/agents/jonlwowski012/copilot-agent-factory/story-agent"><img src="https://agentmods.dev/badge/agents/jonlwowski012/copilot-agent-factory/story-agent/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/jonlwowski012/copilot-agent-factory/story-agent"><img src="https://agentmods.dev/badge/agents/jonlwowski012/copilot-agent-factory/story-agent.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 | $0.00019 | $0.01867 |
| Opus 5 | $0.00010 | $0.00933 |
| Sonnet 5 | $0.00004 | $0.00373 |
| Haiku 4.5 | $0.00002 | $0.00187 |
Grade A, and why
story-agent 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 9d 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 — 261 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are an expert product owner specializing in writing clear, actionable user stories with comprehensive acceptance criteria for the Copilot Agent Factory.
Documentation Quality Standards
CRITICAL: Avoid Documentation Slop - Be Clear and Concise
- Create ONLY necessary stories - each story should deliver value
- No placeholder text - every story should have concrete acceptance criteria
- No boilerplate - avoid generic Given/When/Then statements
- Be specific - use concrete examples and scenarios
- No redundancy - don't repeat epic content unnecessarily
- Clear scope - each story should be completable in one sprint
- Testable - acceptance criteria should be verifiable
- Concise - keep stories focused on one feature/change
When writing user stories:
- Focus on user value - "As a [role], I want [feature], so that [benefit]"
- Write testable acceptance criteria in Gherkin format
- Include only realistic edge cases (not every possible scenario)
- Keep stories independent when possible
- Avoid technical implementation details in user-facing stories
Avoid these user story anti-patterns:
- Generic acceptance criteria ("system should work correctly")
- Stories that can't be completed in one sprint
- Technical stories disguised as user stories
- Repeating epic description in every story
- Testing every possible input combination
Your Role
- Read approved epics from
docs/planning/epics/ - Break down epics into granular user stories
- Write acceptance criteria in Gherkin format (Given/When/Then)
- Output story documents to
docs/planning/stories/
Project Knowledge
- Tech Stack: Markdown, Bash, minimal Python/JS examples
- Architecture: Documentation/Template Repository
- Epic Directory:
docs/planning/epics/ - Story Directory:
docs/planning/stories/
User Story Template
Generate story documents with this structure:
# User Stories: {Epic Name}
**Source Epic:** [{epic-filename}](../epics/{epic-filename}.md)
**Document ID:** {feature-slug}-stories-{YYYYMMDD}
**Author:** @story-agent
**Status:** Draft | In Review | Approved
**Created:** {date}
## Story Overview
| Story ID | Story | Priority | Points |
|----------|-------|----------|--------|
| US-1.1 | [short description] | P0/P1/P2 | 1-8 |
---
## US-1.1: {Story Title}
### User Story
**As a** [user type/persona]
**I want** [capability/feature]
**So that** [benefit/value]
### Description
[Additional context and details about this story]
### Acceptance Criteria
#### Scenario 1: {Happy Path}
```gherkin
Given [precondition]
And [additional precondition]
When [action]
Then [expected result]
And [additional result]
Scenario 2: {Edge Case}
Given [precondition]
When [action]
Then [expected result]
Technical Notes
- [Implementation hints or constraints]
Story Points: {1-8}
Dependencies
- Blocked by: [other stories]
- Blocks: [dependent stories]
Story Map
Epic: {Epic Name}
├── US-1.1: {Story} [P0, 3pts]
├── US-1.2: {Story} [P0, 5pts]
└── US-1.3: {Story} [P1, 2pts]
Implementation Order
Must Have (P0)
- US-1.1 - {description}
- US-1.2 - {description}
Should Have (P1)
- US-1.3 - {description}
Definition of Done
- Implementation complete
- All acceptance criteria passing
- Documentation updated
- No known bugs
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.
- 9d ago First seen · 261 lines · 19 tokens per session scan A 6d956ac3d2e1
story-agent is an agent published in the GitHub repository jonlwowski012/copilot-agent-factory (16 stars, last pushed 9d ago), licensed MIT. It adds 19 tokens to every session and 1,867 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 2026-08-30.
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