financial-model-review
Reviews startup financial models for investor readiness — validates unit economics, stress-tests runway scenarios, and benchmarks metrics against stage-appropriate targets. Accepts Excel, CSV, or text.
npx skills add majiayu000/claude-skill-registry --skill financial-model-review --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Financial Model Review Skill Help startup founders understand how investors will evaluate their financial model — validating structure, unit economics, runway, and metrics against stage-appropriate standards. Produce a thorough review with actionable improvements. The tone is founder-first: a rigorous but supportive coaching session. ## Skill Metadata - **Author:** lool-ventures - **Version:** managed in `founder-skills/.claude-plugin/plugin.json` - **Compatibility:** Python 3.10+ and `uv` for script execution. `openpyxl` required for Excel parsing. - **Imports (optional):** - `market-sizing:sizing.json` — validate revenue-to-SOM consistency - `deck-review:checklist.json` — cross-check model-to-deck number alignment - **Exports:** - `report.json` → `ic-sim`, `fundraise-readiness`, `dd-readiness` - `unit_economics.json` → `metrics-benchmarker`, `ic-sim` - `runway.json` → `fundraise-readiness` ## Skill Execution Model (READ FIRST) This skill runs **inline in the main thread** (not as a sub-agent). The main thread has full tool access including Bash, and is responsible for orchestrating the full pipeline: running producer scripts, persisting artifacts, and dispatching the financial-
- Skill Metadata
- Skill Execution Model (READ FIRST)
- Input Formats
- Available Scripts
- Available References
- Artifact Pipeline
- Workflow
- Step 0: Path Setup
- Step 1: Read or Create Founder Context
- Step 2: Extract Model Data
- Sub-agent JSON staging (v0.4.2)
- Step 3: INPUTSREVIEW Dispatch (Context A)
- Step 3.5: Validate inputs.json — STOP GATE
- Step 3.6: Review Extracted Values
if ls "$(pwd)"/mnt/*/ >/dev/null 2>&1; then elif ls "$(pwd)"/sessions/*/mnt/*/ >/dev/null 2>&1; then else fi mkdir -p "$REVIEW_DIR" mkdir -p "$REVIEW_DIR/.staging" # for ad-hoc sub-agent JSON staging (v0.4.2) python3 "$SHARED_SCRIPTS/founder_context.py" read --artifacts-root "$ARTIFACTS_ROOT" --pretty python3 "$SHARED_SCRIPTS/founder_context.py" init \ python3 "$SCRIPTS/extract_model.py" --file <path> --pretty -o "$REVIEW_DIR/model_data.json" cat "$REVIEW_DIR/.staging/<step>_input.json" | python3 "$SCRIPTS/<producer>.py" ...
What does the financial-model-review skill do?
Reviews startup financial models for investor readiness — validates unit economics, stress-tests runway scenarios, and benchmarks metrics against stage-appropriate targets. Accepts Excel, CSV, or text.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill financial-model-review --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.