Getting it into your agent
There is no command for this one: it runs only inside a plugin, and the catalogue could not identify which plugin ships it. The source is linked below.
Wrote 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/glebis/claude-skills/automation-advisor)<a href="https://agentmods.dev/skills/glebis/claude-skills/automation-advisor"><img src="https://agentmods.dev/badge/skills/glebis/claude-skills/automation-advisor/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/glebis/claude-skills/automation-advisor"><img src="https://agentmods.dev/badge/skills/glebis/claude-skills/automation-advisor.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 | $0.00075 | $0.00268 |
| Opus 5 | $0.00037 | $0.00134 |
| Sonnet 5 | $0.00015 | $0.00054 |
| Haiku 4.5 | $0.00007 | $0.00027 |
Grade A, and why
automation-advisor 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.
What it actually says
Automation Advisor
Help the user decide whether to automate a task using data, not gut feeling.
Process
- Gather task context through freeform conversation
- Score four dimensions using AskUserQuestion
- Calculate the automation score
- Apply override checks
- Recommend validation patterns for high-stakes automation
- Calculate break-even analysis
- Generate a markdown report + visualization (
visualize.py)
Follow the full interactive flow in prompt.md.
Output location: /Users/glebkalinin/Brains/brain/automation-decisions/
Optional web/voice interface
A voice-enabled (Groq TTS) web interface lives in server_web.py / server.py — see docs/WEB_SERVER_GUIDE.md and docs/QUICKSTART.md.
What ships with it
16 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.
- CLAUDE.md 3.4 KB
- docs/DESIGN_SYSTEM.md 8.2 KB
- docs/LLM_CONTEXTUAL_UX_DESIGN.md 24 KB
- docs/QUICKSTART.md 5.4 KB
- docs/WEB_SERVER_GUIDE.md 13 KB
- prompt.md 9.3 KB
- README.md 8.9 KB
- requirements.txt 75 B
- server_web.py 20 KB runs code
- server.py 18 KB runs code
- skill.yaml 1.2 KB
- start_server.sh 1.0 KB runs code
- templates/index.html 35 KB
- test_demo.py 3.8 KB runs code
- test_groq_tts.py 3.6 KB runs code
- visualize.py 12 KB runs code
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 · 27 lines · 75 tokens per session scan A 934789cf524a
automation-advisor is a skill published in the GitHub repository glebis/claude-skills (374 stars, last pushed 9d ago), licensed MIT. It adds 75 tokens to every session and 268 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.
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