Getting it into your agent
This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.
/plugin marketplace add lool-ventures/founder-skills/plugin install founder-skillsWrote 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/lool-ventures/founder-skills/financial-model-review)<a href="https://agentmods.dev/skills/lool-ventures/founder-skills/financial-model-review"><img src="https://agentmods.dev/badge/skills/lool-ventures/founder-skills/financial-model-review/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/lool-ventures/founder-skills/financial-model-review"><img src="https://agentmods.dev/badge/skills/lool-ventures/founder-skills/financial-model-review.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00099 | $0.19304 |
| Opus 5 | $0.00049 | $0.09652 |
| Sonnet 5 | $0.00020 | $0.03861 |
| Haiku 4.5 | $0.00010 | $0.01930 |
Grade A, and why
financial-model-review 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 7d 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.
How it starts
The opening of the file, as written. The whole thing — 985 lines — stays where its author put it; the contents beside it link to each section on GitHub.
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
uvfor script execution.openpyxlrequired for Excel parsing. - Imports (optional):
market-sizing:sizing.json— validate revenue-to-SOM consistencydeck-review:checklist.json— cross-check model-to-deck number alignment
- Exports:
report.json→ic-sim,fundraise-readiness,dd-readinessunit_economics.json→metrics-benchmarker,ic-simrunway.json→fundraise-readiness
Skill Execution Model (READ FIRST)
See
founder-skills/references/skill-execution-model.mdfor the full inline-skill execution model (3 dispatch contexts, Mitigation 1+2, producer contract, Cowork quirks, per-symptom triage).
This skill runs inline in the main thread, not as a sub-agent — see the reference above ("Why Inline (Not Forked Sub-Agent)") for the rationale. Sub-agents are deliberately shell-free, so orchestration (producer scripts, artifact persistence) stays in the main thread.
Two dispatch contexts for the sub-agent:
- Context A — Per-step analytical dispatch (Mitigation 1): The INPUTS_REVIEW and CHECKLIST steps dispatch the financial-model-review agent via the
Tasktool. The agent does deep analysis, WRITES its output JSON to theOUTPUT_PATHgiven in its prompt (thehandoff/dir), and returns a small receipt. The main thread gates the file withcheck_handoff.py, then pipes it through the producer script. The sub-agent never writes canonical artifacts — only its hand-off file. (Unit economics and runway are NOT dispatched — those producers consumeinputs.jsonverbatim, so the main thread pipes the file directly.) - Context B — Post-compose coaching dispatch: The final step dispatches the sub-agent after
compose_report.pywritesreport.md. The sub-agent Reads the stagedcoaching_payload.jsonfrom the hand-off dir (Mitigation 2) — it does NOT read the fullreport.md— composes the coaching commentary, WRITES it to theOUTPUT_PATHhand-off file, and returns a small receipt. The main thread gates the file (check_handoff.py) and inserts it via the sharedinsert_coaching.pyscript (idempotency matrix, uuid-marker replacement, run_id-parity verification — all deterministic). See the reference above for the full Context B contract.
What ships with it
21 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.
- references/artifact-schemas.md 19 KB
- references/checklist-criteria.md 17 KB
- references/data-sufficiency.md 3.2 KB
- references/extraction-pitfalls.md 5.7 KB
- references/schema-inputs.md 28 KB
- scripts/_dispatch_json.py 1.9 KB runs code
- scripts/_fingerprint.py 3.5 KB runs code
- scripts/_theme.py 3.0 KB runs code
- scripts/apply_corrections.py 24 KB runs code
- scripts/checklist.py 42 KB runs code
- scripts/compose_report.py 81 KB runs code
- scripts/explore.py 81 KB runs code
- scripts/extract_model.py 26 KB runs code
- scripts/review_inputs.py 90 KB runs code
- scripts/runway.py 36 KB runs code
- scripts/unit_economics.py 75 KB runs code
- scripts/validate_extraction.py 41 KB runs code
- scripts/validate_inputs.py 45 KB runs code
- scripts/vendor/chart.min.js 202 KB runs code
- scripts/verify_review.py 33 KB runs code
- scripts/visualize.py 59 KB runs code
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.
- 7d ago Changed · +2 lines b9f4e389705c
- 11d ago First seen · 983 lines · 99 tokens per session scan A b9baab3ccd8d
financial-model-review is a skill published in the GitHub repository lool-ventures/founder-skills (34 stars, last pushed 10d ago), licensed Apache-2.0. It adds 99 tokens to every session and 19,304 once invoked, about $0.0005 per session on Opus 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 2026-08-30.
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