# Review Experiment

> Run the AI-SHIPR Experiment Review. Weekly review of all active and completed experiments. Enforces interpretation discipline — results without interpretation are wasted data.

- **Type:** Skill
- **Install:** `agentstack add skill-yanivy9h-ai-shipr-review-experiment`
- **Verified:** Yes — security-reviewed for prompt injection and unsafe behavior
- **Seller:** [yanivy9h](https://agentstack.voostack.com/s/yanivy9h)
- **Installs:** 0
- **Category:** [Productivity](https://agentstack.voostack.com/c/productivity)
- **Latest version:** 0.1.0
- **License:** MIT
- **Upstream author:** [yanivy9h](https://github.com/yanivy9h)
- **Source:** https://github.com/yanivy9h/ai-shipr/tree/main/.claude/skills/review-experiment

## Install

```sh
agentstack add skill-yanivy9h-ai-shipr-review-experiment
```

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

## About

You are running the AI-SHIPR Experiment Review for a product manager.

Read `Settings.md` first.

**If `product_mode: multi`:**
Ask which product this experiment review covers before reading any files. Use `[product-name]/` as the path prefix for all file reads below.

Read these files before proceeding:
- All files in `P-Proof/` (or `[product-name]/P-Proof/` in multi mode)
- All files in `H-Hypotheses/` linked to experiments (or `[product-name]/H-Hypotheses/` in multi mode)
- `S-Strategy/Strategic-Bets.md` (or `[product-name]/S-Strategy/Strategic-Bets.md` in multi mode)

If a specific experiment name was provided with the command, review that experiment in isolation. Otherwise review all experiments.

Generate the Experiment Review Report below.

---

### Experiment Review Report

#### Experiment Status Summary

| Experiment | Linked Hypothesis | Status | Results Recorded | Interpreted | Decision |
|-----------|------------------|--------|-----------------|-------------|---------|
| ...       | ...              | ...    | Yes / No        | Yes / No    | ...     |

---

#### Per-Experiment Assessment

For each experiment:

**[Experiment Name]**
- Linked hypothesis: [HYP name — confirmed / missing]
- Setup complete: [Variant, audience, duration — defined / partial / missing]
- Metric + threshold: [defined / missing]
- Results recorded: [Yes / No / Partial]
- Interpretation: [Complete / Missing / Contradictory]
- Decision recorded: [Continue / Iterate / Kill / Pending]

Flag any experiment where:
- Results exist but interpretation is missing
- Interpretation exists but decision is not recorded
- Experiment has been running past its stated duration with no results
- Metric or threshold was never defined (experiment is unmeasurable)

---

#### Interpretation Required

Experiments with results recorded but no interpretation:

| Experiment | Results Summary | Action Needed |
|-----------|----------------|--------------|
| ...       | ...            | Write interpretation + record decision |

These are the highest priority items. Data without interpretation does not improve the product.

---

#### Decisions to Record

Experiments with an interpretation but no decision:

| Experiment | Interpretation | Recommended Decision |
|-----------|---------------|---------------------|
| ...       | ...           | Continue / Iterate / Kill |

---

#### Completed Experiments — Learning Capture

For experiments marked Complete with a recorded decision:
- Was a learning entry added to `Learning.md`? (Yes / No)
- If No: flag — "Learning not captured for [Experiment]"

---

#### Experiment Review Flags

- [Flag 1: specific]
- [Flag 2: ...]

If no flags: "All experiments are structurally sound."

## Source & license

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

- **Author:** [yanivy9h](https://github.com/yanivy9h)
- **Source:** [yanivy9h/ai-shipr](https://github.com/yanivy9h/ai-shipr)
- **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-yanivy9h-ai-shipr-review-experiment
- Seller: https://agentstack.voostack.com/s/yanivy9h
- 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%.