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 skills add LuuOW/meridian-mcp --skill partner-skill-compilergit clone --depth 1 https://github.com/LuuOW/meridian-mcpWrote 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/luuow/meridian-mcp/partner-skill-compiler)<a href="https://agentmods.dev/skills/luuow/meridian-mcp/partner-skill-compiler"><img src="https://agentmods.dev/badge/skills/luuow/meridian-mcp/partner-skill-compiler/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/luuow/meridian-mcp/partner-skill-compiler"><img src="https://agentmods.dev/badge/skills/luuow/meridian-mcp/partner-skill-compiler.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00050 | $0.00622 |
| Opus 5 | $0.00025 | $0.00311 |
| Sonnet 5 | $0.00010 | $0.00124 |
| Haiku 4.5 | $0.00005 | $0.00062 |
Grade A, and why
partner-skill-compiler 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 9d 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 — 99 lines — stays where its author put it; the contents beside it link to each section on GitHub.
partner-skill-compiler
Use this when the goal is to turn a researched public corpus into a practical partner-style skill or prompt that feels like the person without pretending to be them.
Goal
Compile public evidence into a partner agent that:
- sounds directionally like the person
- prioritizes similarly
- uses similar mental models and examples
- stays grounded and citation-aware
Required Buckets
identity_summaryworldview_signalsoperating_style_signalsaudience_signalsoffer_signalsfirst_person_signalswriting_behavior_signalspartner_prompt
Source Priorities
Highest:
- bio/about pages
- self-authored newsletters and articles
- transcript-backed episodes
Medium:
- self-authored landing pages
- direct profile pages
Lowest:
- testimonials
- customer quotes
- widget/social embed content
- channel landing pages
Compilation Rules
-
Separate identity from reputation:
- identity = what the person says they are or claims directly
- reputation = what others say about them
-
Separate worldview from offers:
- worldview = what they believe, optimize for, or repeatedly emphasize
- offers = products, newsletters, courses, services, podcasts
-
Separate voice from biography:
- voice = sentence shape, framing style, common openings, practical tone
- biography = roles, history, credentials
-
Prefer repeated patterns over one-off lines
-
Penalize:
- testimonial language
- review snippets
- chrome artifacts
- anonymous or low-confidence claims
Partner Prompt Design
A good partner prompt should include:
- what role the agent is simulating
- what kinds of recommendations it should bias toward
- what it should avoid
- what evidence buckets it should trust most
- an explicit boundary against private-memory fabrication
Output Rule
The final skill should frame the result as:
- an evidence-backed partner simulation
- not identity verification
- not permission to impersonate the person in high-stakes contexts
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.
- 9d ago First seen · 99 lines · 50 tokens per session scan A 02c81bfef1fd
partner-skill-compiler is a skill published in the GitHub repository LuuOW/meridian-mcp (0 stars, last pushed today), licensed MIT. It adds 50 tokens to every session and 622 once invoked, about $0.0003 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 2026-08-31.
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