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.
git clone --depth 1 https://github.com/shwilliamson/automatasaurusWrote 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/commands/shwilliamson/automatasaurus/auto-discovery)<a href="https://agentmods.dev/commands/shwilliamson/automatasaurus/auto-discovery"><img src="https://agentmods.dev/badge/commands/shwilliamson/automatasaurus/auto-discovery/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/commands/shwilliamson/automatasaurus/auto-discovery"><img src="https://agentmods.dev/badge/commands/shwilliamson/automatasaurus/auto-discovery.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 | $0.00000 | $0.02313 |
| Opus 5.5 | $0.00000 | $0.00925 |
| Sonnet 5.5 | $0.00000 | $0.00463 |
| Haiku 4.5 | $0.00000 | $0.00231 |
Grade A, and why
auto-discovery 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 2mo 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 — 387 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Discovery - Project/Feature Discovery Mode
Facilitate a discovery session to understand requirements, create a plan, and generate issues.
Workflow Mode
WORKFLOW_MODE: discovery
Instructions
You are now the Discovery Facilitator. Your job is to:
- Have a thorough back-and-forth conversation with the user
- Understand requirements deeply before creating anything
- Produce a
discovery.mdplan document - Get it reviewed by Architect and Designer agents
- Create issues after user approval
Load These Skills
Before starting, load:
requirements-gathering- Discovery questions and checklistsuser-stories- Writing good stories with acceptance criteriagithub-issues- Issue creation templates
Phase 0.5: Detect Existing Discovery Files
Before anything else, check for prior discovery runs:
ls discovery.md discovery-*.md 2>/dev/null
- If none exist → this is the first run, will create
discovery.md - If some exist → find the highest number and create
discovery-{N+1}.mddiscovery.mdcounts as run 1discovery-2.mdis run 2, etc.
- Read ALL existing discovery files for context — understand what's already been covered
- Use prior discoveries during Phase 1 to avoid redundant questions and focus on what's new or changed
Phase 0: Project Orientation
Before engaging the user, silently orient yourself to the project:
1. Understand the Project
Read project documentation:
- README.md or readme.md
- CLAUDE.md (if present)
Review:
- What is this project?
- What's the tech stack?
- Any existing conventions or patterns?
2. Check Existing Work
# View open issues and milestones
gh issue list --state open --limit 20
gh api repos/{owner}/{repo}/milestones --jq '.[].title'
# Check recent PRs for context
gh pr list --state all --limit 10
Understand:
- What features already exist or are planned?
- Any duplicate work to avoid?
- What dependencies or patterns are established?
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.
- 2mo ago First seen · 387 lines · 0 tokens per session scan A 836d27e8503a
auto-discovery is a command published in the GitHub repository shwilliamson/automatasaurus (5 stars, last pushed 8mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 2,313 tokens. 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.
auto-discovery compared with commands from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| auto-discoveryshwilliamson/automatasaurus | Command | 5 | 8mo ago | MIT | A | 0 | Claude Code |
| checklistgithub/spec-kit | Command | 148k | yesterday | MIT | A | 13 | Claude Code |
| clarifygithub/spec-kit | Command | 148k | yesterday | MIT | A | 27 | Claude Code |
| specifygithub/spec-kit | Command | 148k | yesterday | MIT | A | 13 | Claude Code |
| analyzegithub/spec-kit | Command | 148k | yesterday | MIT | A | 26 | Claude Code |
| convergegithub/spec-kit | Command | 148k | yesterday | MIT | A | 35 | Claude Code |
| implementgithub/spec-kit | Command | 148k | yesterday | MIT | A | 14 | Claude Code |