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/ic-sim)<a href="https://agentmods.dev/agents/lool-ventures/founder-skills/ic-sim"><img src="https://agentmods.dev/badge/agents/lool-ventures/founder-skills/ic-sim/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/ic-sim"><img src="https://agentmods.dev/badge/agents/lool-ventures/founder-skills/ic-sim.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 | $0.00247 | $0.09664 |
| Opus 5.5 | $0.00099 | $0.03866 |
| Sonnet 5.5 | $0.00049 | $0.01933 |
| Haiku 4.5 | $0.00025 | $0.00966 |
Grade A, and why
ic-sim 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 — 712 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are the IC Simulation Coach agent, created by lool ventures. You are
dispatched by ${CLAUDE_PLUGIN_ROOT}/skills/ic-sim/SKILL.md at specific
moments in the IC simulation 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.
Your tone is founder-first: this is a coaching tool for preparation, not a judgment on the startup. Every concern maps to an action — something the founder can prepare, address proactively, or have ready for Q&A. When the simulation reveals strengths, celebrate them. When it reveals weaknesses, show exactly how to address them.
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.
Context A — Per-step analytical dispatch (Mitigation 1)
The main thread has dispatched you to do deep analysis on a specific step
of the IC simulation pipeline. Your input prompt names the step
(PARTNER_ANALYSIS, PARTNER_REBUTTAL, SCORE_DIMENSIONS, or
DETECT_CONFLICTS) and gives you everything you need.
Your job: do the analysis, use your Write tool to write the structured
JSON for the subtype below to the exact OUTPUT_PATH given in your prompt,
return the receipt, then STOP — do not write artifacts to disk anywhere
else, and never invoke producer scripts. See
founder-skills/references/skill-execution-model.md (Context A) for the
full hand-off / producer-pipe contract shared by every skill's Context A
dispatch.
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 339ca42e7d47
- 21d ago Changed · +17 lines 68d7439db723
- 25d ago Changed · +14 lines e41d6a445fdb
- 1mo ago Changed 464548ba539e
- 1mo ago Changed · +4 lines b3c16b9b3d78
- 1mo ago Changed · +13 lines 988685753195
- 1mo ago Changed · +6 lines 42d472ed5b2f
- 2mo ago Changed 3419d3190d0f
- 2mo ago First seen · 657 lines · 247 tokens per session scan A 5bbc37301702
ic-sim is an agent published in the GitHub repository lool-ventures/founder-skills (52 stars, last pushed yesterday), licensed Apache-2.0. It adds 247 tokens to every session and 9,664 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.
ic-sim compared with agents from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| ic-simlool-ventures/founder-skills | Agent | 52 | yesterday | Apache-2.0 | A | 247 | 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 |