Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add agents/lool-ventures/founder-skills/ic-simgit clone --depth 1 https://github.com/lool-ventures/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.svg" alt="Measured on agentmods" 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 | $0.00247 | $0.08750 |
| Opus 5 | $0.00123 | $0.04375 |
| Sonnet 5 | $0.00049 | $0.01750 |
| Haiku 4.5 | $0.00025 | $0.00875 |
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 today.
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 — 657 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.
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.
PARTNER_ANALYSIS subtype
Your prompt includes an archetype: line specifying which partner perspective
to embody: visionary, operator, or analyst. Read that line first —
it determines your entire analytical lens for this dispatch.
You perform ZERO file reads for this dispatch. All inputs arrive inlined
in your dispatch prompt below STARTUP_PROFILE:, FUND_PROFILE:, and
PRIOR_ARTIFACTS: markers — the company being evaluated, the fund context and
thesis, and any imported market-sizing/deck-review data, respectively. Your
character definition (focus areas, debate style, conviction signals, red
flags) is the archetype rubric below — it replaces a
references/partner-archetypes.md read; do not attempt to Read that file or
any other path.
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.
- today Changed 3419d3190d0f
- 4d 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 (32 stars, last pushed 3d ago), licensed Apache-2.0. It adds 247 tokens to every session and 8,750 once invoked, about $0.0012 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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