Borrowing it
Nothing to install: this file belongs to gotgenes/pi-anthropic-auth. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/gotgenes/pi-anthropic-auth/main/.pi/skills/frontmatter/SKILL.mdgit clone --depth 1 https://github.com/gotgenes/pi-anthropic-authWrote 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/gotgenes/pi-anthropic-auth/frontmatter)<a href="https://agentmods.dev/skills/gotgenes/pi-anthropic-auth/frontmatter"><img src="https://agentmods.dev/badge/skills/gotgenes/pi-anthropic-auth/frontmatter.svg" alt="Measured on agentmods" 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 | $0.00037 | $0.00444 |
| Opus 5 | $0.00018 | $0.00222 |
| Sonnet 5 | $0.00007 | $0.00089 |
| Haiku 4.5 | $0.00004 | $0.00044 |
Grade A, and why
frontmatter 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 8d 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.
What it actually says
Skill Frontmatter
Purpose
Use this skill when creating or reviewing SKILL.md files for Pi.
Required Frontmatter
Every skill must begin with frontmatter like:
---
name: example-skill
description: Specific description of what the skill does and when to use it.
---
Rules
name
- required
- 1-64 characters
- lowercase letters, numbers, hyphens only
- no leading or trailing hyphens
- no consecutive hyphens
- must match the parent directory name
description
- required
- max 1024 characters
- should clearly say what the skill does and when to use it
- missing descriptions prevent the skill from loading
Optional fields
licensecompatibilitymetadataallowed-toolsdisable-model-invocation
Unknown frontmatter fields are ignored, but keeping frontmatter minimal is better.
Recommended Template
---
name: skill-name
description: What this skill does and when to use it. Be specific.
compatibility: Optional environment or repo constraints.
---
# Skill Name
## Use When
- condition 1
- condition 2
## Workflow
1. Step one.
2. Step two.
3. Step three.
## References
- `relative/path/to/file`
Review Checklist
Before finalizing a skill:
- Confirm the directory name matches
nameexactly. - Confirm the description is specific enough for the model to load it appropriately.
- Confirm the skill uses relative references where possible.
- Keep instructions focused on a real repeatable workflow, not a task log.
Source Reference
Pi frontmatter rules are documented in:
~/development/pi-mono/packages/coding-agent/docs/skills.md
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.
- 8d ago First seen · 93 lines · 37 tokens per session scan A 2ba2cd007873
frontmatter is a skill published in the GitHub repository gotgenes/pi-anthropic-auth (237 stars, last pushed 3d ago), licensed MIT. It adds 37 tokens to every session and 444 once invoked, about $0.0002 per session on Opus 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
surf
Control Chrome browser via CLI for testing, automation, and debugging. Use when the user needs browser automation, screenshots, form filling, page inspection, network/CPU emulation, DevTools streaming, or AI queries via ChatGPT/Gemini/Perplexity/Grok/AI Studio.
prose-review
Review prose written for others (e.g., user-facing documentation, prompts for other LLMs, reports, plans, inline comments, docstrings) for local jargon leakage, orphaned references, missing grounding, and audience or genre mismatch. Always run on prose you produce or materially edit, except for routine conversational…
text-search
Search indexed text corpora with qmd. For indexed content, prefer qmd over grep.
repoprompt-tool-guidance-refresh
Refresh RepoPrompt tool guidance when the CLI/MCP surface changes. Tracks RepoPrompt CE (rpce-cli, the maintained target) across versions, and can diff the frozen Classic CLI (rp-cli) against CE. Uses /.pi/agent/skills/repoprompt-tool-guidance-refresh/scripts/track-rp-version.sh to capture/diff --help and -l (tool…
xcodebuildmcp
Build/test Xcode projects via the XcodeBuildMCP MCP server using a local CLI wrapper for pi (no MCP support). Use when the user mentions Xcode, xcodebuild, iOS builds/tests, or XcodeBuildMCP.
security-patterns
Security patterns for authentication, defense-in-depth, input validation, OWASP Top 10, LLM safety, and PII masking. Use when implementing auth flows, security layers, input sanitization, vulnerability prevention, prompt injection defense, or data redaction.