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 skills/ckokoski/authoragent/ingest-toolnpx skills add Ckokoski/AuthorAgent --skill ingest-toolgit clone --depth 1 https://github.com/Ckokoski/AuthorAgentWrote 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/ckokoski/authoragent/ingest-tool)<a href="https://agentmods.dev/skills/ckokoski/authoragent/ingest-tool"><img src="https://agentmods.dev/badge/skills/ckokoski/authoragent/ingest-tool.svg" alt="Measured on agentmods" 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 | $0.00018 | $0.00479 |
| Opus 5 | $0.00009 | $0.00239 |
| Sonnet 5 | $0.00004 | $0.00096 |
| Haiku 4.5 | $0.00002 | $0.00048 |
Grade A, and why
ingest-tool 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 6d 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.
What it actually says
Tool Ingestion — Code to Skill Converter
Read source code of any external tool and generate a proper AuthorAgent SKILL.md file.
Process
- Read the source code provided by the user (file path or pasted code)
- Analyze the tool:
- Purpose and domain (writing, formatting, marketing, analysis)
- Inputs: arguments, config files, stdin
- Outputs: files, stdout, formats
- Language: Python, JavaScript, HTML, etc.
- CLI interface and flags (if any)
- Dependencies required
- Generate SKILL.md with:
- YAML frontmatter: name, description, triggers, permissions
- How the tool works
- Input/output documentation
- Example commands or workflows
- How AuthorAgent should invoke or reference it
- Save to
skills/author/[tool-name]/SKILL.md(or marketing/core as appropriate)
SKILL.md Format
---
name: tool-name-kebab-case
description: One-line description of what the tool does
author: AuthorAgent (generated from [original tool])
version: 1.0.0
triggers:
- "keyword 1"
- "keyword 2"
permissions:
- file:read
- file:write
---
# Tool Name
[How it works, when to use it, example commands]
Rules
- NEVER invent capabilities the tool doesn't have
- Note required dependencies (Python version, npm packages)
- If the tool is GUI-only, note it requires manual interaction
- If the tool has a CLI, document exact command syntax
- Keep triggers practical — words users would actually type
- Name must be kebab-case, unique, and descriptive
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.
- 6d ago First seen · 70 lines · 18 tokens per session scan A b5783cb9f647
ingest-tool is a skill published in the GitHub repository Ckokoski/AuthorAgent (103 stars, last pushed 1mo ago), licensed MIT. It adds 18 tokens to every session and 479 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 2026-08-30.
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