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 po4yka/llm-wiki-skills --skill llm-wiki-skill-compilergit clone --depth 1 https://github.com/po4yka/llm-wiki-skillsWrote 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/po4yka/llm-wiki-skills/llm-wiki-skill-compiler)<a href="https://agentmods.dev/skills/po4yka/llm-wiki-skills/llm-wiki-skill-compiler"><img src="https://agentmods.dev/badge/skills/po4yka/llm-wiki-skills/llm-wiki-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/po4yka/llm-wiki-skills/llm-wiki-skill-compiler"><img src="https://agentmods.dev/badge/skills/po4yka/llm-wiki-skills/llm-wiki-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 | $0.00056 | $0.00847 |
| Opus 5 | $0.00028 | $0.00424 |
| Sonnet 5 | $0.00011 | $0.00169 |
| Haiku 4.5 | $0.00006 | $0.00085 |
Grade A, and why
llm-wiki-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 12d 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 — 130 lines — stays where its author put it; the contents beside it link to each section on GitHub.
LLM-Wiki Skill Compiler
Goal
Turn reusable procedural knowledge from the wiki into small, triggerable Agent Skills without moving domain knowledge into hidden prompts.
When to use
- A wiki page or folder captures a repeated step-by-step workflow, runbook, checklist, or troubleshooting routine worth reusing across sessions or agents.
- A saved query answer keeps getting re-asked and should become a triggerable skill instead of a synthesis note.
- An existing
skills/directory needs a new candidate evaluated againstskills.sh.jsonbefore writing anything. - Someone wants to compile a batch of wiki pages into
SKILL.mdfiles and needs the propose-only vs. write-mode boundary made explicit first. - Do not use this skill to answer a one-off question or to publish domain facts as-is; use it only when the target output is a procedural, triggerable skill.
Inputs
- Candidate wiki pages or folders.
- Existing
skills/directory. skills.sh.jsonif present.- Target agent(s).
- Desired mode: propose-only or write skill files.
Procedure
1. Find procedural candidates
Search for pages containing:
- step-by-step workflows;
- repeated troubleshooting routines;
- runbooks;
- checklists;
- project conventions;
- saved query answers that are reused;
- scripts or command sequences.
2. Separate procedure from knowledge
Keep in the skill:
- trigger conditions;
- required inputs;
- deterministic procedure;
- output contract;
- safety gates.
Keep in the wiki or references:
- domain facts;
- long examples;
- historical background;
- volatile current-state claims;
- source excerpts.
3. Design skill boundary
For each candidate, propose:
| Candidate | Skill name | Trigger | Inputs | Risks | Evidence pages |
|---|---|---|---|---|---|
Use one skill per coherent user intent. Do not create one giant skill.
4. Generate SKILL.md
Create valid frontmatter:
---
name: example-skill
description: Trigger-rich description.
license: MIT
compatibility: Designed for Agent Skills-compatible coding agents.
metadata:
author: po4yka
version: "0.1.0"
install_scope: self-contained
---
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 12d ago First seen · 130 lines · 56 tokens per session scan A 8132bf4415e3
llm-wiki-skill-compiler is a skill published in the GitHub repository po4yka/llm-wiki-skills (3 stars, last pushed 19d ago), licensed MIT. It adds 56 tokens to every session and 847 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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