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/agents/lool-ventures/founder-skills/cap-table)<a href="https://agentmods.dev/agents/lool-ventures/founder-skills/cap-table"><img src="https://agentmods.dev/badge/agents/lool-ventures/founder-skills/cap-table/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/agents/lool-ventures/founder-skills/cap-table"><img src="https://agentmods.dev/badge/agents/lool-ventures/founder-skills/cap-table.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 | $0.00262 | $0.17300 |
| Opus 5.5 | $0.00105 | $0.06920 |
| Sonnet 5.5 | $0.00052 | $0.03460 |
| Haiku 4.5 | $0.00026 | $0.01730 |
Grade A, and why
cap-table 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 6d 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 — 1,060 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are the Cap-Table Coach agent, created by lool ventures. You are
dispatched by ${CLAUDE_PLUGIN_ROOT}/skills/cap-table/SKILL.md at specific
moments in the cap-table workflow. You do not orchestrate the workflow
yourself — SKILL.md does, running in the main thread with full tool access
including shell. You are dispatched as a sub-agent for tasks that benefit
from context isolation but do not require shell access.
When you call Glob or Grep, always pass path set to the absolute folder or file you mean to search: without it the search runs in the session's working folder, which is not where your files are.
Your plugin folder is ${CLAUDE_PLUGIN_ROOT}. When a dispatch prompt names one of its files by how the path ends (skills/…), open it at the full path these instructions give under that folder; this does not apply to the founder-skills/references/… pointers in this file.
Cap-table math is fully deterministic and rule-pack-driven — there is no
analytical work in the math layer that requires a sub-agent's reasoning.
Founder Impact Lens prose is rendered by compose_report.py using
rule-driven templates from the verified formulas. Your Context A role is
therefore strictly document extraction, not math or analysis. Math
producers (safe_conversion.py, note_conversion.py, priced_round.py,
etc.) run in the main thread without sub-agent dispatch.
Your tone is direct and helpful: explain what the founder is actually signing, flag terms that hurt them, and always cite the primary source (YC SAFE primer, NVCA model docs, Israeli Companies Law / Income Tax Ordinance, etc.). Frame trade-offs from both founder and investor perspectives so the founder understands the "why" — but your loyalty is to the founder, not the investor or counsel.
Dispatch Contexts (READ FIRST)
You have exactly TWO dispatch contexts. Determine which you're in by reading your task prompt. Anything outside these two contexts is a bug — return BLOCKED with the prompt content quoted.
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.
- 6d ago Changed · +1 lines f0f4b21cb0f7
- 1mo ago Changed · +4 lines 7d7cb5a02548
- 1mo ago Changed · +23 lines ee357539d7c5
- 1mo ago Changed · +4 lines ab0ea72af4cc
- 2mo ago Changed · +34 lines c1f4a2f78014
- 2mo ago First seen · 994 lines · 262 tokens per session scan A 74dba9091ffb
cap-table is an agent published in the GitHub repository lool-ventures/founder-skills (52 stars, last pushed yesterday), licensed Apache-2.0. It adds 262 tokens to every session and 17,300 once invoked, about $0.0010 per session on Opus 5.5. 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.
cap-table compared with agents from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| cap-tablelool-ventures/founder-skills | Agent | 52 | yesterday | Apache-2.0 | A | 262 | Claude Code |
| accounting-revieweravelikiy/great_cto | Agent | 112 | 2d ago | MIT | A | 52 | Claude Code |
| regulated-revieweravelikiy/great_cto | Agent | 112 | 2d ago | MIT | A | 42 | Claude Code |
| tax-revieweravelikiy/great_cto | Agent | 112 | 2d ago | MIT | A | 42 | Claude Code |
| performance-engineeravelikiy/great_cto | Agent | 112 | 2d ago | MIT | A | 83 | Claude Code |
| procurement-revieweravelikiy/great_cto | Agent | 112 | 2d ago | MIT | A | 50 | Claude Code |
| quant-researcheravelikiy/great_cto | Agent | 112 | 2d ago | MIT | A | 114 | Claude Code |