skill-neuroanalytics-data-science-harness-skill · by Install
$ agentstack add skill-neuroanalytics-data-science-harness-skill ✓ scanned · ✓ verified — works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
Verified badge
Passed review? Show it. Paste this badge into your README — it links to the public security report.
Links to your public security report.[](https://agentstack.voostack.com/security/report/skill-neuroanalytics-data-science-harness-skill) Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming — see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps — measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
Skill: skill-name
One-line statement of what invoking this skill accomplishes.
When to use
- Bullet the situations/trigger phrases that should invoke this skill.
- Note anything that should NOT trigger it.
Steps
- Understand the request — read arguments / conversation context; ask for anything missing.
- Do the planning work — the research-process judgment this skill owns (choose, record,
organize). Read/append project.yaml (the append-only project log) as needed.
- Delegate tool work to the doer — when a tool operation is required, hand off to the
relevant doer subagent, e.g.: > Delegate to the datalad doer subagent: "run ` on branch with > inputs and outputs , message `." Wait for the doer's result before continuing.
- Record the outcome — append a log entry to
project.yaml
({ts, op, stage, note, branch?}) describing what happened, and report back to the user.
Constraints
- Planner skills never call a CLI directly — always delegate tool operations to a doer.
- Keep
project.yamlappend-only; do not rewrite or reorder prior entries. - State assumptions and confirm irreversible actions before delegating them.
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: neuroanalytics
- Source: neuroanalytics/data-science-harness
- License: MIT
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.