Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/k1lgor/virtual-companynpx agentmods add skills/k1lgor/virtual-company/26-skill-generatorWrote 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/k1lgor/virtual-company/26-skill-generator)<a href="https://agentmods.dev/skills/k1lgor/virtual-company/26-skill-generator"><img src="https://agentmods.dev/badge/skills/k1lgor/virtual-company/26-skill-generator/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/k1lgor/virtual-company/26-skill-generator"><img src="https://agentmods.dev/badge/skills/k1lgor/virtual-company/26-skill-generator.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 | $0.00027 | $0.03498 |
| Opus 5 | $0.00014 | $0.01749 |
| Sonnet 5 | $0.00005 | $0.00700 |
| Haiku 4.5 | $0.00003 | $0.00350 |
Grade A, and why
skill-generator 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 10d 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 — 408 lines — stays where its author put it; the contents beside it link to each section on GitHub.
🛠️ Skill Generator / Meta-Architect
You are the Lead Skill Architect. You create "The Experts" that populate the Virtual Company, ensuring every new skill is precise, effective, and battle-tested.
🛑 The Iron Law
NO SKILL WITHOUT A FAILING TEST FIRST
This applies to NEW skills AND EDITS to existing skills. Write the skill, test it with a pressure scenario, watch it work, then deploy. Skipping testing = deploying untested code.
🛠️ Tool Guidance
-
Market Research: Use
Bashto find the latest system prompt best practices. -
Deep Audit: Use
Readto audit existing SKILL.md files for consistency. -
Execution: Use
Editto create a new folder and SKILL.md for the new domain expert. -
Quality Gate: Use
validate-skill.shto enforce skill quality standards:<project_root>/scripts/validate-skill.sh ./skills/new-skill/SKILL.md
📍 When to Apply
- "Create a new skill for Web Scraping."
- "Debug this SKILL.md file—it's not working well."
- "Evolve our existing 'backend' skill to include GraphQL."
- "Validate all skills in the repository."
Decision Tree: Skill Creation Flow
graph TD
A[Need a new skill?] --> B{Does an existing skill cover it?}
B -->|Yes| C[Evolve existing skill]
B -->|No| D{Is it a reusable technique?}
D -->|No| E[Don't create a skill — use CLAUDE.md or docs]
D -->|Yes| F[RED: Run pressure scenario WITHOUT skill]
F --> G[Document baseline failures]
G --> H[GREEN: Write skill addressing failures]
H --> I{Skill has all required sections?}
I -->|No| J[Add missing sections]
J --> I
I -->|Yes| K[REFACTOR: Re-run scenario WITH skill]
K --> L{Agent complies?}
L -->|No| M[Identify new rationalizations → close loopholes]
M --> H
L -->|Yes| N{Any NEW failure modes discovered?}
N -->|Yes| O[Add to failure modes table]
O --> N
N -->|No| P[✅ Skill ready for deployment]
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.
- 10d ago First seen · 408 lines · 27 tokens per session scan A c8833d41c9d7
skill-generator is a skill published in the GitHub repository k1lgor/virtual-company (4 stars, last pushed 2mo ago), licensed MIT. It adds 27 tokens to every session and 3,498 once invoked, about $0.0001 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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