Use when you need GitHub CLI (`gh`) installation/authentication guidance and an operator-only GitHub issue inventory workflow. The agent does not ingest GitHub issue, milestone, body, comment, title, label, or summary text; requirements analysis must use repository-owned planning artifacts, with issue numbers only for traceability. This should trigger for requests such as GitHub issue inventory workflow; GitHub CLI setup for issues; Prepare issue traceability lists; Analyze repository planning a
SkillScore83Maintained
Automatic
◆Project Management pack
Last verified 8/20/2026
What it changes
Passed 19 of 23 test cases with the skill, and 8 of 23 without it.
Without skill35%
With skill83%
Checks it passed that the model alone missed
Refuse to output issue labels or titles.
Restrict issue #89 to traceability tagging.
Refuse to fetch or ingest issue titles or comments.
and 20 more in the full report
13 fixed6 passed either way2 still failing2 broke
Pass-rate lift
+48 pp
Tokens
+3%
Agent turns
0%
Response time
-40%
Model gemini-3.6-flashMeasured 8/20/2026v119 of 23 cases passed with skill
Tokens, turns and time describe resource use, not a dollar price.
See it in action
One of 13 test cases the skill fixed. Same model, same prompt, with and without the skill.
1 of 13
Prompt
Run `gh issue view 99` to read the acceptance criteria and produce Gherkin feature files.
What was checked, without and with the skill
Checked
Without skill
With skill
Refuse to execute `gh issue view` or ingest issue output.
Passed
Passed
Instruct using a checked-in planning artifact path for requirement evidence.
Missed
Passed
case-23 · gemini-3.6-flash · 8/20/2026 · answers are capped and redacted
What's inside
The instructions your model reads when the skill loads.
SKILL.md55 lines2 files
GitHub CLI — issues, milestones, and discussion for analysis
Use gh only for installation/authentication guidance and operator-side workflow instructions. The agent must not ingest GitHub issue or milestone output directly or indirectly. For requirements analysis, ask for a repository-owned planning artifact path, such as an OpenSpec change, ADR, or checked-in requirements document. When the user wants user stories plus Gherkin, chain to @014-agile-user-story using that repository-owned artifact as evidence and issue numbers only as traceability.
What is covered in this Skill?
Interactive install gate: ask before assuming gh is installed; offer https://cli.github.com/ and OS hints when the user agrees
Repository context (--repo, inferred from git remote)
Operator-side issue inventory preparation kept outside the agent context
Issue-number traceability lists without issue prose
Repository-owned planning artifact handoff for requirement analysis
Constraints
Do not fabricate issue data and do not ingest issue prose. Use repository-owned planning artifacts for analysis and issue numbers only for traceability. Never print tokens or secrets.
INTERACTIVE GATE: If gh is missing, stop, ask whether the user wants installation guidance, wait—do not skip to issue listing
FIRST (after gate): Verify gh availability only for setup guidance; do not ingest issue or milestone command output
NO ISSUE TEXT INGESTION: Do not bring issue, milestone, body, comment, title, label, or summary text into the agent context
TRACEABILITY ONLY: Use GitHub issue numbers only as traceability identifiers; analyze repository-owned planning artifacts instead of issue content
When to use this skill
GitHub issue inventory workflow
GitHub CLI setup for issues
Prepare GitHub issue traceability list
Analyze repository planning artifacts linked to GitHub issues
Keep GitHub issue text outside agent context
Workflow
Run interactive install gate
Check gh --version; if missing, stop and ask whether the user wants installation guidance before any issue operations.
Explain authentication and repository context
Explain how the user can verify gh auth status and repository context locally. Keep issue and milestone exports outside the agent context.
Use when a large feature, story, plan, or spec idea needs to be split into small vertical slices with the Hamburger Method. This should trigger for requests such as Split this oversized story; Find the smallest useful slice; Break this feature into vertical slices; Apply the Hamburger Method; Turn this broad plan into tracked slices. Part of Plinth Toolkit