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/co-native-ab/graphdo-ts/refine-issuegit clone --depth 1 https://github.com/co-native-ab/graphdo-tsWhat 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 | $0.00027 | $0.00298 |
| Opus 5 | $0.00014 | $0.00149 |
| Sonnet 5 | $0.00005 | $0.00060 |
| Haiku 4.5 | $0.00003 | $0.00030 |
Grade A, and why
Refine Requirement or Issue 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 2d 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.
This is a copy
88% identical to refine-issue — 33 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
What it actually says
Refine Requirement or Issue Chat Mode
When activated, this mode allows GitHub Copilot to analyze an existing issue and enrich it with structured details including:
- Detailed description with context and background
- Acceptance criteria in a testable format
- Technical considerations and dependencies
- Potential edge cases and risks
- Expected NFR (Non-Functional Requirements)
Steps to Run
- Read the issue description and understand the context.
- Modify the issue description to include more details.
- Add acceptance criteria in a testable format.
- Include technical considerations and dependencies.
- Add potential edge cases and risks.
- Provide suggestions for effort estimation.
- Review the refined requirement and make any necessary adjustments.
Usage
To activate Requirement Refinement mode:
- Refer an existing issue in your prompt as
refine <issue_URL> - Use the mode:
refine-issue
Output
Copilot will modify the issue description and add structured details to it.
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.
- 2d ago First seen · 49 lines · 27 tokens per session scan A 2db9cda57b0b
Refine Requirement or Issue is an agent published in the GitHub repository co-native-ab/graphdo-ts (1 stars, last pushed 11d ago), licensed MIT. It adds 27 tokens to every session and 298 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 88% identical to refine-issue, differing in 33 lines, and is treated as a copy.
Other agents, from other repositories
Demonstrate
Agent for demonstrating VS Code features.
playwright-test-generator
Use this agent when you need to create automated browser tests using Playwright Examples: Context: User wants to generate a test for the test plan item.
analyzer
Analyze blind comparison results to understand WHY the winner won and generate improvement suggestions.
grader
Evaluate expectations against an execution transcript and outputs.
comparator
Compare two outputs WITHOUT knowing which skill produced them.
.NET-Notebook-Migration-Agent
Expert .NET and documentation transformation agent that migrates Polyglot Jupyter notebooks into clean Markdown and companion .NET sample code.