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 sanjay3290/ai-skills --skill outlinegit clone --depth 1 https://github.com/sanjay3290/ai-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/sanjay3290/ai-skills/outline)<a href="https://agentmods.dev/skills/sanjay3290/ai-skills/outline"><img src="https://agentmods.dev/badge/skills/sanjay3290/ai-skills/outline/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/sanjay3290/ai-skills/outline"><img src="https://agentmods.dev/badge/skills/sanjay3290/ai-skills/outline.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk warn
- NVIDIA SkillSpector warn
SkillSpector: 3 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 Privilege Escalation · line 27 Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
- high Privilege Escalation · line 28 Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
- medium Tool Misuse · line 132 Tool defaults are unsafe or overly permissive (e.g. disabled TLS verification, no authentication, world-writable permissions). Unsafe defaults widen the attack surface.Fix: Override unsafe defaults with secure settings (verify=True, auth required, restrictive permissions). Review and harden all tool configurations.
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 | $0.00071 | $0.01104 |
| Opus 5 | $0.00036 | $0.00552 |
| Sonnet 5 | $0.00014 | $0.00221 |
| Haiku 4.5 | $0.00007 | $0.00110 |
Grade A, and why
outline 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 11d 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- outline — 94% identical, 2 lines differ
How it starts
The opening of the file, as written. The whole thing — 148 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Outline Wiki Skill
Search, read, create, and manage documents in any Outline wiki instance. Works with all AI clients supporting the Agent Skills Standard.
Requirements
- Python 3.8+
- Dependencies:
pip install -r requirements.txt
Setup
-
Get your API key from your Outline wiki:
- Go to Settings > API Tokens
- Create a new token with appropriate permissions
-
Configure the environment:
cp .env.example .env # Edit .env with your API key -
Set the environment variables:
export OUTLINE_API_KEY=your-api-key-here # Optional: for self-hosted instances export OUTLINE_API_URL=https://your-wiki.example.com/api
Usage
Search documents
python3 scripts/outline.py search "deployment guide"
python3 scripts/outline.py search "API documentation" --limit 10
python3 scripts/outline.py search "onboarding" --collection-id <id>
Read a document
python3 scripts/outline.py read <document-id>
python3 scripts/outline.py read <document-id> --json
List collections
python3 scripts/outline.py list-collections
python3 scripts/outline.py list-collections --limit 50
List documents in a collection
python3 scripts/outline.py list-documents --collection-id <id>
Get collection details
python3 scripts/outline.py get-collection <collection-id>
Create a document
python3 scripts/outline.py create --title "New Guide" --collection-id <id>
python3 scripts/outline.py create --title "Guide" --collection-id <id> --text "# Content here"
python3 scripts/outline.py create --title "Draft" --collection-id <id> --draft
Update a document
python3 scripts/outline.py update <document-id> --title "Updated Title"
python3 scripts/outline.py update <document-id> --text "New content"
python3 scripts/outline.py update <document-id> --publish
Export document as markdown
python3 scripts/outline.py export <document-id>
python3 scripts/outline.py export <document-id> --output doc.md
What ships with it
5 files 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.
- 11d ago First seen · 148 lines · 71 tokens per session scan A fe1065c3bb7e
outline is a skill published in the GitHub repository sanjay3290/ai-skills (422 stars, last pushed today), licensed Apache-2.0. It adds 71 tokens to every session and 1,104 once invoked, about $0.0004 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.
Other skills, from other repositories
report-helper
A Chinese-language research workflow that searches the internet and produces a formatted PDF report about a specified topic.
pdf-analyze
Comprehensive PDF manipulation toolkit for extracting text and tables, creating new PDFs, merging/splitting documents, and handling forms. When Claude needs to fill in a PDF form or programmatically process, generate, or analyze PDF documents at scale.
extract-transcripts
Extract readable transcripts from Claude Code and Codex CLI session JSONL files.
doc-writer
Create or update numbered task docs using repo context, DOCTEMPLATE.md, and naming conventions.
pdf-processing
Extract text and tables from PDF files, fill forms, merge documents. Use when working with PDF files or when the user mentions PDFs, forms, or document extraction.
pdf-extractor
Extract text, tables, and images from PDFs. Use when: extracting data from reports; converting PDF tables to CSV; pulling images from presentations; processing research papers; batch converting PDFs to text.