# Agent Bundle

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- **Type:** Skill
- **Install:** `agentstack add skill-neuroanalytics-data-science-harness-agent-bundle`
- **Verified:** Yes — security-reviewed for prompt injection and unsafe behavior
- **Seller:** [neuroanalytics](https://agentstack.voostack.com/s/neuroanalytics)
- **Installs:** 0
- **Category:** [Agent Skills](https://agentstack.voostack.com/c/agent-skills)
- **Latest version:** 0.1.0
- **License:** MIT
- **Upstream author:** [neuroanalytics](https://github.com/neuroanalytics)
- **Source:** https://github.com/neuroanalytics/data-science-harness/tree/main/plugins/disseminate/skills/agent-bundle

## Install

```sh
agentstack add skill-neuroanalytics-data-science-harness-agent-bundle
```

Requires the [AgentStack CLI](https://agentstack.voostack.com/docs/cli). Works with Claude Code, Cursor, and any MCP-compatible agent.

## About

# Skill: agent-bundle

Turn the project's analysis code into an **agent-callable bundle**: the paper's methods become
parameterized, tested MCP tools an agent or person can invoke to reproduce or extend results
(Actionable), each backed by a reproduction test (Ephemerality — verifiably re-runnable). The bundle
is emitted in the harness's **own** `SKILL.md` + `plugin.json` + MCP format, so the project dogfoods
the structure it is built from. You delegate ledger/history reads and the save to the **datalad
doer**.

Load `plugins/disseminate/references/paper2agent-bundle.md` for the bundle layout and mapping before
generating.

## When to use
- A product's analyses are provenanced (`run-comparison` outputs exist) and the author wants them
  exposed as reusable, tested tools / an MCP server.
- Do NOT use to write the paper (`draft-manuscript`) or to build the reproducible article
  (`executable-article`) — this exposes the *methods as callable tools*.

## Steps
1. **Extract candidate tools** — from `code/` scripts and the `participants.json` data dictionary:
   each analysis becomes a parameterized tool (inputs = the script's real inputs, typed from the
   dictionary; outputs = the provenanced `derivatives/…`). List them and confirm scope with the user.
2. **Scaffold the bundle** (per the reference) at `agent-bundle/`: `.claude-plugin/plugin.json`,
   one `skills//SKILL.md` per tool, `mcp/server.py` exposing the tools over MCP, `.mcp.json`
   registration, and `tests/reproduce.py`.
3. **Write reproduction tests** — each test asserts the tool reproduces the recorded result for its
   comparison (`derivatives/cmp-/`), so the bundle is verifiably re-executable.
4. **Register + log** — add the bundle path to the product's `outputs[]` (or create an
   `agent-bundle`-kind product); append
   `{ ts, op: agent-bundle, stage: disseminate, note: "Paper2Agent bundle for ", branch:  }`.
5. **Save** — delegate to the datalad doer: "save: `datalad save -m 'agent-bundle: synthesize '`."
6. **Report** — the bundle path, the tools exposed, how to run the MCP server + reproduction tests,
   and the next step: `link-outputs` to relate the bundle to the code (`IsDerivedFrom`) and paper
   (`IsSupplementTo`).

## Constraints
- Tools wrap *existing* provenanced analyses — do not invent new methods or change the science; a
  tool's output must match the recorded result (that is what the reproduction test asserts).
- Emit the harness's own `SKILL.md` + `plugin.json` + `.mcp.json` format (dogfooding) — do not
  invent a bespoke bundle format.
- Every tool ships a reproduction test; a bundle whose tools are not verifiably reproducible is not
  releasable.
- Record the bundle under the product's `outputs[]`; keep `log:` append-only and the ledger
  schema-valid. Delegate reads/saves to the datalad doer.

## Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

- **Author:** [neuroanalytics](https://github.com/neuroanalytics)
- **Source:** [neuroanalytics/data-science-harness](https://github.com/neuroanalytics/data-science-harness)
- **License:** MIT

Install and usage instructions live in the source repository linked above.

## Pricing

- **Free** — Free

## Security capabilities

Automated source analysis of v0.1.0 — what this tool can access:

- **Network access:** no
- **Filesystem access:** no
- **Shell / process execution:** no
- **Environment & secrets:** no
- **Dynamic code execution:** no

*"Yes" means the capability is present in the source — more access means more to trust, not that it is unsafe.*


## Versions

- **0.1.0** — security scan: passed — Imported from the upstream source.

## Links

- Listing page: https://agentstack.voostack.com/l/skill-neuroanalytics-data-science-harness-agent-bundle
- Seller: https://agentstack.voostack.com/s/neuroanalytics
- Browse the marketplace: https://agentstack.voostack.com/browse

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Listed on AgentStack — the marketplace for AI agent skills and MCP servers. Every listing is security-reviewed. Creators keep 70%.