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/Szotasz/marveennpx agentmods add skills/szotasz/marveen/skill-factoryWrote 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/szotasz/marveen/skill-factory)<a href="https://agentmods.dev/skills/szotasz/marveen/skill-factory"><img src="https://agentmods.dev/badge/skills/szotasz/marveen/skill-factory/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/szotasz/marveen/skill-factory"><img src="https://agentmods.dev/badge/skills/szotasz/marveen/skill-factory.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 7 findings, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high Rogue Agent · line 42 Skill modifies its own code, configuration, or behavior at runtime. Self-modification enables an agent to escalate privileges, disable safety constraints, or install persistent backdoors.Fix: Prevent the skill from modifying its own code, SKILL.md, or configuration files. Treat skill files as read-only at runtime.
- high Agent Snooping · line 48 Skill reads from agent configuration directories (.claude/, .codex/, .gemini/). These directories may contain API keys, personal settings, and other credentials that the skill has no legitimate need to access.Fix: Remove all code or instructions that access agent configuration directories (.claude/, .codex/, .gemini/). If configuration values are needed, pass them explicitly as parameters or environment variabl
- high Rogue Agent · line 93 Skill modifies its own code, configuration, or behavior at runtime. Self-modification enables an agent to escalate privileges, disable safety constraints, or install persistent backdoors.Fix: Prevent the skill from modifying its own code, SKILL.md, or configuration files. Treat skill files as read-only at runtime.
- medium Rogue Agent · line 12 Skill establishes unauthorized persistence across sessions via cron jobs, startup scripts, or state files. Session persistence allows an attacker to maintain access beyond the current interaction.Fix: Remove any persistence mechanisms (cron jobs, startup scripts, state files). Skills should not maintain state across sessions without explicit user consent.
- medium Agent Snooping · line 46 Skill enumerates or reads other installed skills. Access to other skills' SKILL.md files or the skills directory reveals prompt instructions, capabilities, and secrets that should be invisible to peer skills.Fix: Remove all code or instructions that list or read other skills' files or directories. Skills should operate independently; cross-skill access is a privilege escalation.
- medium Agent Snooping · line 85 Skill enumerates or reads other installed skills. Access to other skills' SKILL.md files or the skills directory reveals prompt instructions, capabilities, and secrets that should be invisible to peer skills.Fix: Remove all code or instructions that list or read other skills' files or directories. Skills should operate independently; cross-skill access is a privilege escalation.
- medium Agent Snooping · line 86 Skill enumerates or reads other installed skills. Access to other skills' SKILL.md files or the skills directory reveals prompt instructions, capabilities, and secrets that should be invisible to peer skills.Fix: Remove all code or instructions that list or read other skills' files or directories. Skills should operate independently; cross-skill access is a privilege escalation.
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 | $0.00097 | $0.01014 |
| Opus 5 | $0.00048 | $0.00507 |
| Sonnet 5 | $0.00019 | $0.00203 |
| Haiku 4.5 | $0.00010 | $0.00101 |
Grade A, and why
skill-factory 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 — 125 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Skill Factory
Convert demonstrated workflows into reusable skills. This is a meta-skill: it creates other skills.
When to Use
- User explicitly asks to create a skill from a workflow
- User says "remember how to do this" or "save this process"
- After a complex task (5+ tool calls) that could be reusable
- When user corrects your approach and the correction is generalizable
- Hungarian triggers: "tanítsd meg magad", "csinálj skill-t", "jegyezd meg"
Procedure
Step 1: Extract the Workflow
Analyze the current conversation (or specified workflow) and identify:
- Trigger conditions: When should this skill activate?
- Input: What does the skill need to start?
- Steps: What are the concrete steps (in order)?
- Tools used: Which tools/commands were involved?
- Decision points: Where did you need to make choices?
- Error handling: What went wrong and how was it fixed?
- Output: What's the expected result?
Step 2: Generalize
Don't just copy the specific instance. Abstract it:
- Replace specific file names with
[input-file]patterns - Replace specific URLs with
[target-url]patterns - Identify which parts are constant vs. variable
- Note any prerequisites or dependencies
- Think about edge cases the original workflow didn't cover
Step 3: Write SKILL.md
SKILL_NAME="[kebab-case-name]"
mkdir -p ~/.claude/skills/$SKILL_NAME
cat > ~/.claude/skills/$SKILL_NAME/SKILL.md << 'EOF'
---
name: [skill-name]
description: [What it does + when to trigger. Be specific and "pushy" -- include multiple trigger phrases so the skill activates when needed.]
---
# [Skill Name]
## When to Use
[List concrete trigger conditions and contexts]
## Prerequisites
[Dependencies, tools, access needed -- skip if none]
## Procedure
1. [First step -- be specific, include commands]
2. [Second step]
...
## Pitfalls
- **[Problem]**: [How to solve it]
## Verification
- [How to confirm the result is correct]
## Examples
**Example 1:**
Input: [what the user said]
Output: [what was produced]
EOF
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 · 125 lines · 97 tokens per session scan A 18a87fba0714
skill-factory is a skill published in the GitHub repository Szotasz/marveen (98 stars, last pushed today), licensed MIT. It adds 97 tokens to every session and 1,014 once invoked, about $0.0005 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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