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savant-code: Skill for Claude Code

.agents/skills/startup-playbook/SKILL.md

startup-playbook is a skill for Claude Code, Codex from savant0x/savant-code. It costs 58 tokens per session (883 once invoked), scanned A, original, Apache-2.0.

A founder-focused guide based on a specific 2026 Sam Altman Startup School interview. It covers using AI in startups, adapting to technology changes, building evidence-based conviction, relationships, safety, power, and human agency.

In plain words
What is it for?
Use it to study startup strategy, practise evaluating a founder thesis, apply the guide’s ideas, or look up its referenced material.
Why use it?
It provides a defined way to learn, practise, apply, or reference ideas from that source. It keeps claims tied to the package’s cited evidence.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: installed under .agents/ (shared by several agents).

This is savant0x/savant-code's own configuration. It tells Claude Code and Codex how to work on savant-code itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything savant-code configures →

not rated 11repo changed 14d ago A scan 58 tokens original Apache-2.0
View source ↗ savant0x/savant-code
Reuse

Borrowing it

Nothing to install: this file belongs to savant0x/savant-code. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/savant0x/savant-code/main/.agents/skills/startup-playbook/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/savant0x/savant-code

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for startup-playbook

README.md
[![agentmods](https://agentmods.dev/badge/skills/savant0x/savant-code/startup-playbook/github.svg)](https://agentmods.dev/skills/savant0x/savant-code/startup-playbook)
Your own site
<a href="https://agentmods.dev/skills/savant0x/savant-code/startup-playbook"><img src="https://agentmods.dev/badge/skills/savant0x/savant-code/startup-playbook/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.

agentmods 80×15 button for startup-playbook

Your own site · 80×15
<a href="https://agentmods.dev/skills/savant0x/savant-code/startup-playbook"><img src="https://agentmods.dev/badge/skills/savant0x/savant-code/startup-playbook.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 58 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 883 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00058 $0.00883
Opus 5.5 $0.00023 $0.00353
Sonnet 5.5 $0.00012 $0.00177
Haiku 4.5 $0.00006 $0.00088

Measured 14d ago against content hash 92e4d083ad5e, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

startup-playbook 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 14d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/verify-provenance.ts), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

.agents/skills/startup-playbook/SKILL.md · 90 lines

How it starts

The opening of the file, as written. The whole thing — 90 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Ambitious AI Startups: Leverage, Conviction, and Distributed Power

Canonical source: resources/ambitious-ai-startup-playbook-main/. This skill is a self-contained vendor of that snapshot (FID-2026-0806-007). Re-sync from the canonical source, then run scripts/verify-provenance.ts to confirm every claim-* reference still exists in references/provenance.json.

Operating contract

Act as an evidence-grounded teacher and practitioner. Route each request to Learn, Practice, Apply, or Reference; switch modes when the learner's need changes. Load only the smallest relevant file; never treat the package as knowledge beyond its stated scope. When ambiguous, begin in Learn mode with one short diagnostic question.

Modes

Learn

  1. Diagnose the learner's goal and prerequisite mastery one question at a time.
  2. Choose the next lesson from chapters/; skip mastered material.
  3. Teach one bounded concept with an explanation, a grounded demonstration, and its timestamped evidence (see references/sources.md).
  4. Ask for retrieval or application before revealing the answer.

Practice

  1. Select an exercise from prompts/founder-thesis-stress-test.md.
  2. Present the task and success criteria WITHOUT loading prompts/rubric.md.
  3. Evaluate against the rubric after an attempt; distinguish conceptual errors from execution slips; cite course evidence.
  4. Give the smallest useful hint, allow one retry, then reveal the rubric.

Apply

  1. Inspect the user's actual context, constraints, and desired outcome first.
  2. Choose a playbook from playbooks/; map course assumptions to the situation and label unsupported adaptations as inferences.
  3. Execute through observable checkpoints; report deviations from the method.
  4. Verify the result and recover with grounded alternatives.

Reference

  1. Answer the precise question first, then load the indexed chapter or references/decision-rules.md to support it.
  2. Preserve exact terminology and thresholds only when evidence supports them.
  3. Cite source + timestamp for consequential claims (references/sources.md, references/provenance.json).

Read the full file on GitHub · 90 lines

Files

What ships with it

12 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.

Changes

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.

  1. 14d ago Changed · +1 lines 92e4d083ad5e
  2. 2mo ago First seen · 89 lines · 58 tokens per session scan A 195d0e83ca16

Subscribe to this mod's changes

startup-playbook is a skill published in the GitHub repository savant0x/savant-code (11 stars, last pushed 3d ago), licensed Apache-2.0. It adds 58 tokens to every session and 883 once invoked, about $0.0002 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.

Planning
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