Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/dannote/dot-pinpx agentmods add skills/dannote/dot-pi/github-issuesWrote 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/dannote/dot-pi/github-issues)<a href="https://agentmods.dev/skills/dannote/dot-pi/github-issues"><img src="https://agentmods.dev/badge/skills/dannote/dot-pi/github-issues/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/skills/dannote/dot-pi/github-issues"><img src="https://agentmods.dev/badge/skills/dannote/dot-pi/github-issues.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00025 | $0.00649 |
| Opus 5.5 | $0.00010 | $0.00260 |
| Sonnet 5.5 | $0.00005 | $0.00130 |
| Haiku 4.5 | $0.00003 | $0.00065 |
Grade A, and why
github-issues 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 1mo 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 — 94 lines — stays where its author put it; the contents beside it link to each section on GitHub.
GitHub Issues Workflow
Markdown bodies: never inline multiline text
Never pass multiline Markdown through --body "...". Shell quoting can leak literal \n into GitHub.
Always write Markdown to a temp file and use --body-file:
cat > /tmp/body.md <<'EOF'
## Summary
- ...
## Tests
- `...`
EOF
gh pr create --body-file /tmp/body.md
# or
gh pr edit <number> --body-file /tmp/body.md
# or
gh issue create --body-file /tmp/body.md
Review handoff
For PR inspection, use the pr-review skill. This skill handles GitHub issue and PR mechanics such as reading templates, using --body-file for multiline Markdown, and checking existing comments before closing or posting.
View issue
gh issue view <number>
Create issue safely
For non-trivial bodies, always write the draft to a temp file first. Do not inline long Markdown with shell quoting.
cat > /tmp/issue.md <<'EOF'
### What happened?
...
EOF
gh issue create --repo OWNER/REPO --title "Short title" --body-file /tmp/issue.md
Before creating issues in someone else's repo, check templates/contributing docs and keep the report concise.
gh api repos/OWNER/REPO/contents/.github/ISSUE_TEMPLATE --jq '.[].name'
gh api repos/OWNER/REPO/contents/CONTRIBUTING.md --jq .content | base64 --decode
If gh issue create prompts for confirmation, review the preview carefully before accepting.
Link issues in commits, changelogs, releases
- Commits:
fix: description (#1)orfix: description (fixes #1)— auto-closes on merge to default branch - Changelog:
([#1](https://github.com/owner/repo/issues/1)) - Release notes:
fixes #1— does NOT auto-close, must close manually
Public replies
Use the maintainer-reply skill before drafting or posting issue and PR replies. Read the conversation first; do not apply a generic thank-you or mention a fix version when it is unknown or irrelevant.
Close with comment
When closing with a reply, mention the fix version when known and thank the reporter when appropriate to the conversation:
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.
- 1mo ago Changed · +8 lines 649949252808
- 1mo ago First seen · 86 lines · 25 tokens per session scan A 2cfe7ef4c9f1
github-issues is a skill published in the GitHub repository dannote/dot-pi (57 stars, last pushed 1mo ago), licensed MIT. It adds 25 tokens to every session and 649 once invoked, about $0.0001 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 2026-08-30.
Other skills, from other repositories
create-issue
Draft and submit a GitHub issue from a user idea or bug description, with bilingual body and correct labels.
gh-assign-issues
Use to assign GitHub issues to a milestone and/or owners in bulk, verifying each.
factory-recover
Experimental workflow for finding and resuming interrupted coding runs. Use after an agent host restart or an interrupted automation.
comet-github-idea-to-issue
A workflow for turning a local idea, bug observation, or improvement proposal into a focused GitHub Issue draft. GitHub Issues are shared records for bugs, features, questions, and maintenance work.
codex-issue-coordinator
Coordinates a large batch of GitHub issues through separate Codex worker threads, tested pull requests, review loops, and gated merges. Use when the user asks one Codex thread to manage several coding sessions or complete a parent issue, milestone, or issue batch.
friction-log
File contributor or agent papercuts as GitHub issues labeled friction, or investigate those issues as the daily friction-log Cloud Agent. Use when you hit repo friction, when asked to log friction, or when spawned to resolve open friction issues.