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/Zaoqu-Liu/ScienceClawnpx agentmods add skills/zaoqu-liu/scienceclaw/devtu-auto-discover-apisWrote 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/zaoqu-liu/scienceclaw/devtu-auto-discover-apis)<a href="https://agentmods.dev/skills/zaoqu-liu/scienceclaw/devtu-auto-discover-apis"><img src="https://agentmods.dev/badge/skills/zaoqu-liu/scienceclaw/devtu-auto-discover-apis/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/zaoqu-liu/scienceclaw/devtu-auto-discover-apis"><img src="https://agentmods.dev/badge/skills/zaoqu-liu/scienceclaw/devtu-auto-discover-apis.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 | $0.00084 | $0.06692 |
| Opus 5 | $0.00042 | $0.03346 |
| Sonnet 5 | $0.00017 | $0.01338 |
| Haiku 4.5 | $0.00008 | $0.00669 |
Grade A, and why
devtu-auto-discover-apis scanned grade A with 1 finding 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 10d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
response = requests.get( How it starts
The opening of the file, as written. The whole thing — 985 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Automated Life Science API Discovery & Tool Creation
Discover, create, validate, and integrate life science APIs into ToolUniverse through fully automated workflows with human review checkpoints.
When to Use This Skill
Use this skill when:
- Expanding ToolUniverse coverage in underrepresented domains
- Systematically discovering new life science APIs and databases
- Building a batch of tools from multiple APIs at once
- Identifying gaps in current ToolUniverse tool coverage
- Automating the tool creation pipeline from discovery to PR
- Adding emerging APIs from recent publications or releases
Triggers: "find new APIs", "expand tool coverage", "discover missing tools", "add APIs for [domain]"
Table of Contents
- Overview
- Four-Phase Workflow
- Phase 1: Discovery & Gap Analysis
- Phase 2: Tool Creation
- Phase 3: Validation
- Phase 4: Integration
- Configuration Options
- Output Artifacts
- Quality Gates
- Common Patterns
- Troubleshooting
Overview
This skill orchestrates a complete pipeline:
Gap Analysis → API Discovery → Tool Creation → Validation → Integration
↓ ↓ ↓ ↓ ↓
Coverage Web Search devtu-create devtu-fix Git PR
Report + Docs patterns validation Ready
Automation Level: Fully automated with human approval gates at:
- After gap analysis (approve focus areas)
- After tool creation (review generated tools)
- Before PR submission (final review)
Authentication Handling: Supports public APIs, API keys, OAuth, and complex authentication schemes
Output: Working tool files (.py + .json), validation reports, discovery documentation, and integration-ready PRs
What ships with it
1 file 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.
- 10d ago First seen · 985 lines · 84 tokens per session scan A 4417f3c79435
devtu-auto-discover-apis is a skill published in the GitHub repository Zaoqu-Liu/ScienceClaw (60 stars, last pushed 5mo ago), licensed MIT. It adds 84 tokens to every session and 6,692 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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