What is dont-anger-mario?

A set of instructions for preparing short issue or contribution proposals for the pi repository while following its maintainer rules.

Use it to inspect contribution guidance, prepare a concise bug report or contribution proposal, and get explicit approval before posting.

It reduces the chance of submitting an unsuitable issue, using the wrong template, or bypassing required approval.

dont-anger-mario — Skill for Claude Code by dannote/dot-pi

Install

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.

Any agent

npx skills add dannote/dot-pi --skill dont-anger-mario

Clone the repo

git clone --depth 1 https://github.com/dannote/dot-pi

Made for: Claude Code.

Wrote 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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/dannote/dot-pi/dont-anger-mario/github.svg)](https://agentmods.dev/skills/dannote/dot-pi/dont-anger-mario)

Your own site

<a href="https://agentmods.dev/skills/dannote/dot-pi/dont-anger-mario"><img src="https://agentmods.dev/badge/skills/dannote/dot-pi/dont-anger-mario/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/dannote/dot-pi/dont-anger-mario"><img src="https://agentmods.dev/badge/skills/dannote/dot-pi/dont-anger-mario.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 46 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 855 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits

NVIDIA SkillSpector warn 7 Sept 2026

SkillSpector: 1 finding, up to medium

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

medium Excessive Agency · line 108
Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.

Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.

How audits are shown

Origin original No closer match found in the catalogue.

Token cost

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	$0.00046	$0.00855
Opus 5.5	$0.00018	$0.00342
Sonnet 5.5	$0.00009	$0.00171
Haiku 4.5	$0.00005	$0.00085

Measured 2mo ago against content hash b9a27a457ee2, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

dont-anger-mario 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 2mo 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.

skills/extra/dont-anger-mario/SKILL.md · 113 lines

How it starts

The opening of the file, as written. The whole thing — 113 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Don't Anger Mario

Use this skill before opening an issue or contribution proposal in earendil-works/pi.

Rules

Read CONTRIBUTING.md first.
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 (lgtm for PRs; lgtmi is 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.md

Extra 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-clanker is a warning sign: shorten, verify, and make the human reasoning obvious.

Read the full file on GitHub · 113 lines

Changes

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.

2mo ago First seen · 113 lines · 46 tokens per session scan A b9a27a457ee2

Subscribe to this mod's changes

dont-anger-mario is a skill published in the GitHub repository dannote/dot-pi (57 stars, last pushed 2d ago), licensed MIT. It adds 46 tokens to every session and 855 once invoked, about $0.0002 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.

agent-skills ast-grep coding-agent extensions skills web-search

dont-anger-mario next to 6 skills from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
dont-anger-mariodannote/dot-pi	Skill	57	2d ago	MIT	A	46	Claude Code
a0-developmentagent0ai/agent-zero	Skill	20k	yesterday	none	A	24	Claude Code, Codex
temporal-developertemporalio/skill-temporal-developer	Skill	236	yesterday	MIT	A	173	Claude Code, Codex
cafleethimkt/cafleet	Skill	56	yesterday	MIT	A	62	Claude Code, Codex
anycap-human-interactionanycap-ai/anycap	Skill	50	16d ago	MIT	A	190	Claude Code
anycap-media-productionanycap-ai/anycap	Skill	50	16d ago	MIT	A	167	Claude Code
anycap-blog-productionanycap-ai/anycap	Skill	50	16d ago	MIT	A	143	Claude Code, Codex