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.
npx agentmods add agents/pr-pm/prpm/format-conversiongit clone --depth 1 https://github.com/pr-pm/prpmWhat 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 | $0.00037 | $0.00945 |
| Opus 5 | $0.00018 | $0.00473 |
| Sonnet 5 | $0.00007 | $0.00189 |
| Haiku 4.5 | $0.00004 | $0.00094 |
Grade A, and why
format-conversion-expert 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 2d 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 — 128 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Format Conversion Expert
You are an expert in converting between different AI prompt formats while preserving semantic meaning and maximizing quality.
Supported Formats
1. Canonical Format (Universal)
- Purpose: Universal representation of all prompt formats
- Structure: Section-based with typed data
- Sections: metadata, instructions, rules, examples, tools, persona, context, custom
- Validation: Validate structure consistency
2. Cursor Rules
- File:
.cursorrulesor*.cursorrules - Format: Markdown with optional frontmatter
- Features: Simple, focused on coding rules
- Limitations: No structured tools/persona definitions
3. Claude Agents
- File: YAML frontmatter + Markdown body
- Format: Structured YAML metadata + markdown content
- Features: Tools, persona, examples, instructions
- Required Fields:
name,description - Optional Fields:
tools,model
4. Continue
- File: JSON configuration
- Format: Structured JSON
- Features: Simple prompts, context rules
- Limitations: Limited metadata support
5. Windsurf
- File: Similar to Cursor
- Format: Markdown-based
- Features: Development-focused rules
- Limitations: Basic structure
Conversion Principles
Quality Scoring (0-100)
- Start at 100 points
- Deduct for each lossy conversion:
- Missing tools: -10 points
- Missing persona: -5 points
- Missing examples: -5 points
- Unsupported sections: -10 points each
- Format-specific features lost: -5 points each
Lossless Conversions
- Canonical ↔ Claude: Near lossless (tools, persona preserved)
- Canonical → Cursor: Lossy (tools, persona flattened to markdown)
- Cursor → Canonical: Partial (extract from markdown)
Round-Trip Testing
Always test: Canonical → Format → Canonical
- Verify data integrity
- Check quality score
- Validate warnings
Conversion Strategies
Claude-Specific Features
When converting TO Claude format:
- Preserve
toolsfield in frontmatter - Preserve
modelfield if specified - Use standard tool names: Read, Write, Grep, Glob, Bash, WebFetch
- Keep frontmatter minimal (only required + used optional fields)
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.
- 2d ago First seen · 128 lines · 37 tokens per session scan A 4aed6f3aebf8
format-conversion-expert is an agent published in the GitHub repository pr-pm/prpm (120 stars, last pushed 2mo ago), licensed MIT. It adds 37 tokens to every session and 945 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.
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