dont-anger-mario
Skill57 starsChanged 5 months agoMITView on GitHub
Prepare concise, high-signal issues or contribution proposals for the pi repository without annoying maintainers. Use when filing issues/PR proposals for earendil-works/pi or mentioning Mario/pi tracker etiquette.
In this repository15 other files it gives its agents.
- AGENTS.mdAGENTS.md
- agent-browserSkill
- ai-newsSkill
- applescriptSkill
- birdSkill
- chat-to-skillSkill
- github-issuesSkill
- keyboard-layout-decoderSkill
- maintainer-replySkill
- package-releaseSkill
- pr-reviewSkill
- session-reflectSkill
- skill-discoverySkill
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- vibe-mergeSkill
The file
Show its rules and text
We split this skill into the rules it gives an agent
13 rules. About 0 are common, 11 are distinctive, and 2 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈11
Distinctive · estimate
This author's own choices. Worth a look.
2
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 8
Use this skill before opening an issue or contribution proposal in earendil-works/pi.
- Distinctive: line 13
Use an official issue template.
- Distinctive: line 14
Keep it short. If it does not fit on one screen, it is too long.
- Distinctive: line 15
Write in the user's own voice, not corporate/AI slop.
- Distinctive: line 17
Do not submit automatically.
- Distinctive: line 18
Before submitting, ask the user to confirm they carefully read the exact final draft and explicitly approve posting it.
- Distinctive: line 19
If proposing a change, use Contribution Proposal rather than Bug Report.
- Distinctive: line 20
If reporting a bug, include minimal repro and version.
- Very specific: line 21
If opening a PR, only proceed after maintainer approval (lgtm for PRs.
- Distinctive: line 22
Do not send agent-only PRs.
- Distinctive: line 53
Ask for explicit approval with this wording:
- Distinctive: line 59
Do not proceed on vague approval like "ok" if the user has not seen the exact final draft.
- Distinctive: line 61
Create only after explicit approval:
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Don't Anger Mario
Use this skill before opening an issue or contribution proposal in earendil-works/pi.
Rules
- Read
CONTRIBUTING.mdfirst. - Use an official issue template; blank issues are disabled.
- Keep it short. If it does not fit on one screen, it is too long.
- Write in the user's own voice, not corporate/AI slop.
- Be concrete: what, why, and optionally how.
- Do not submit automatically.
- Before submitting, ask the user to confirm they carefully read the exact final draft and explicitly approve posting it.
- If proposing a change, use Contribution Proposal rather than Bug Report.
- If reporting a bug, include minimal repro and version.
- If opening a PR, only proceed after maintainer approval (
lgtmfor PRs;lgtmiis issues only). - Do not send agent-only PRs. If the user cannot explain the change without the agent, stop.
Safe workflow
- Inspect templates and contributing docs:
gh api repos/earendil-works/pi/contents/.github/ISSUE_TEMPLATE --jq '.[].name'
gh api repos/earendil-works/pi/contents/CONTRIBUTING.md --jq .content | base64 --decode- Draft the issue body in
/tmp, never inline long Markdown through shell quoting:
cat > /tmp/pi-issue.md <<'EOF'
### What do you want to change?
...
### Why?
...
### How? (optional)
...
EOF- Show the exact final title and body to the user.
- Ask for explicit approval with this wording:
Please read the draft carefully. Do you explicitly approve me posting this issue/proposal as written?Do not proceed on vague approval like "ok" if the user has not seen the exact final draft.
- Create only after explicit approval:
gh issue create \
--repo earendil-works/pi \
--template contribution.yml \
--title "Short concrete title" \
--body-file /tmp/pi-issue.mdExtra caution from prior tracker behavior
Known maintainer reactions that shape this workflow:
- Auto-close gate is intentional; maintainers review closed issues later.
- GitHub Actions outages can let the issue/PR gate fail and flood the repo.
- Maintainers dislike agent-only PRs because they take time to review and are often broken.
- "Clanker misunderstood the code" is a real failure mode; verify the claim before drafting.
- A label/comment like
possibly-openclaw-clankeris a warning sign: shorten, verify, and make the human reasoning obvious.
Useful receipts:
- https://github.com/earendil-works/pi/issues/3589 — "very tired of clankers"
- https://github.com/earendil-works/pi/issues/5259 — "your clanker misunderstood"
- https://github.com/earendil-works/pi/pull/2666 — "You and your clanker are banned"
- https://github.com/earendil-works/pi/pull/5296 — "please do not send more agent only PRs"
Good contribution proposal shape
### What do you want to change?
One concrete change.
### Why?
The user-visible problem and why it matters.
### How? (optional)
Small implementation sketch, if useful. Avoid over-design.Tone
Good:
Prompt templates support
$1and$ARGUMENTS, but optional arguments cannot have defaults. I want/nextand/next 3to expand cleanly without asking the model to interpret an empty argument.
Bad:
Implement advanced Bash-compatible templating with all parameter expansion semantics, conditionals, filters, and expression evaluation.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

