ToolUniverse is a collection of tools, interfaces, and supporting components for building AI systems that perform scientific work. It is for developers creating AI scientist agents that use APIs, databases, machine-learning tools, and domain-specific utilities. The catalogue includes skills, commands, an MCP server, an agent, and a hook for working with the ecosystem.
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 mims-harvard/ToolUniverse --skill devtu-githubgit clone --depth 1 https://github.com/mims-harvard/ToolUniverseWrote 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/mims-harvard/tooluniverse/devtu-github)<a href="https://agentmods.dev/skills/mims-harvard/tooluniverse/devtu-github"><img src="https://agentmods.dev/badge/skills/mims-harvard/tooluniverse/devtu-github/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/mims-harvard/tooluniverse/devtu-github"><img src="https://agentmods.dev/badge/skills/mims-harvard/tooluniverse/devtu-github.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk pass
- NVIDIA SkillSpector warn
SkillSpector: 1 finding, 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 Tool Misuse · line 105 Tool parameters are crafted to achieve unintended or unsafe behavior. Parameter abuse can bypass intended safety checks (e.g. shell=True, --force, dangerous glob patterns).Fix: Validate all tool parameters against an allowlist. Reject dangerous parameter values (shell=True, --force, -rf /) and use safe defaults.
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 | $0.00051 | $0.01922 |
| Opus 5.5 | $0.00020 | $0.00769 |
| Sonnet 5.5 | $0.00010 | $0.00384 |
| Haiku 4.5 | $0.00005 | $0.00192 |
Grade A, and why
devtu-github 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 1mo 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:
- devtu-github — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 240 lines — stays where its author put it; the contents beside it link to each section on GitHub.
DevTU GitHub Workflow
Safely push ToolUniverse code to GitHub by enforcing pre-push cleanup, pre-commit hooks, and test validation.
Instructions
When the user wants to push code, fix CI, or prepare a commit, follow this workflow:
Phase 1: Pre-Push Cleanup
- Move temp files out of root - session docs and ad-hoc test scripts must NOT be pushed:
# Move session markdown files to temp_docs_and_tests/
for f in $(ls *.md 2>/dev/null | grep -v README.md | grep -v CHANGELOG.md | grep -v LICENSE.md); do
mv "$f" temp_docs_and_tests/
done
# Move root-level test scripts to temp_docs_and_tests/
for f in $(ls test_*.py 2>/dev/null); do
mv "$f" temp_docs_and_tests/
done
- Verify nothing unwanted is staged:
git status --short
Red flags - these should NEVER be staged:
*_SUMMARY.md,*_REPORT.md,SESSION_*.mdin roottest_*.pyin root (these are ad-hoc scripts, not real tests).envor credential filestemp_docs_and_tests/contents
Phase 2: Activate Pre-Commit Hooks
- Ensure pre-commit is installed and active:
pre-commit install
This enables automatic checks on every git commit:
ruff check --fix- Python linting with auto-fixruff format- Code formatting- YAML/TOML validation
- Trailing whitespace removal
- End of file fixes
- Verify hooks are active:
ls -la .git/hooks/pre-commit
Phase 3: Run Tests
- Run the full test suite locally:
python -m pytest tests/ -x --tb=short -q
- If tests fail, diagnose using the error patterns below and fix before proceeding.
Phase 4: Commit and Push
- Stage only specific files (never use
git add .orgit add -A):
git add src/tooluniverse/specific_file.py tests/specific_test.py
- Commit (pre-commit hooks run automatically):
git commit -m "Clear, descriptive message"
- Rebase onto latest main BEFORE pushing (CRITICAL — prevents PR conflicts):
What ships with it
2 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.
- 1mo ago First seen · 240 lines · 51 tokens per session scan A d6f8f6f8a2c5
devtu-github is a skill published in the GitHub repository mims-harvard/ToolUniverse (1,739 stars, last pushed today), licensed Apache-2.0. It adds 51 tokens to every session and 1,922 once invoked, about $0.0002 per session on Opus 5.5. 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 2026-09-03.
Other skills, from other repositories
commit-context
Trace a file, function, or line back to the agent session that produced its current commit. Use when the user asks "why is this code here", "what was the agent doing when this changed", "who wrote this", or wants context on a specific location in the codebase.
map-diff
Analyze the impact of staged git changes against the committed Cortex function knowledge graph — shows which downstream functions are affected before you commit.
github-operations
GitHub CLI operations for issues, PRs, milestones, and Projects v2. Covers gh commands, REST API patterns, and automation scripts. Use when managing GitHub issues, PRs, milestones, or Projects with gh.
security-pipeline
Use when security verification is needed - pre-commit security checks, vulnerability scanning, STRIDE threat analysis. Integrates with /handoff-verify --security and /commit-push-pr. CWE Top 25 based.
jira-merge
Land the pull requests a set of Jira issues carry, in order, resolving a conflict when one appears, and move each card on. Insert into the prompt of a run started on a batch of issues, or of a Jira column rule that ships.
github-commenting
How to post clean, rich, deduplicated GitHub PR review comments — suggestion blocks, multi-line anchors, markers, formatting rules. Load before posting or fixing any PR comment.