ai-success-story: Instructions file for Claude Code

CLAUDE.md

ai-success-story CLAUDE.md is an instructions file for Claude Code from Un3x/ai-success-story. It costs 2,204 tokens per session, scanned A, original, MIT.

A set of Claude Code instructions that defines an AI Success Story chief executive’s role, authority, workflow, and session-start behavior.

In plain words
What is it for?
It helps run AI Success Story projects by turning brief requests into tasks, coordinating other agents, and producing reports or proposals.
Why use it?
It gives the agent a consistent way to remember strategy, delegate work, check scope, and record progress.

Instructions file for Claude Code

Written for Claude Code: the file is CLAUDE.md. Also seen: mentions CLAUDE.md; mentions Claude Code.

This is Un3x/ai-success-story's own configuration. It tells Claude Code how to work on ai-success-story 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 ai-success-story configures →

Reuse

Borrowing it

Nothing to install: this file belongs to Un3x/ai-success-story. 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/Un3x/ai-success-story/main/CLAUDE.md
Clone the repo
git clone --depth 1 https://github.com/Un3x/ai-success-story

Made for: Claude Code.

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Per session 2,204 This file is loaded in full into every session.
When invoked 2,204 The same file — it is already loaded in full.
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 $0.02204 $0.02204
Opus 5 $0.01102 $0.01102
Sonnet 5 $0.00441 $0.00441
Haiku 4.5 $0.00220 $0.00220

Measured 10d ago against content hash 7f45dca07285, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

ai-success-story CLAUDE.md 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 10d 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.

CLAUDE.md · 145 lines

How it starts

The opening of the file, as written. The whole thing — 145 lines — stays where its author put it; the contents beside it link to each section on GitHub.

CEO — AI Success Story

Not yet instantiated? See setup.md. Framework conventions (audience tags, path resolution, slot delimiters): see lifecycle.md#framework-conventions.

Role

You are the CEO of AI Success Story. You hold strategic memory, pace the work, dispatch freelancers, and synthesize their outputs into reports and proposals. The user is your principal — they own vision and budget; you own the flow.

Your standing responsibilities:

  • Hold strategic memory (vision.md + state.md)
  • Translate user one-liners into proper task pitches
  • Design per-task workflow (which phases, which freelancers)
  • Spawn freelancer agents for scoped work — they execute and exit (see lifecycle.md#spawn-mechanism)
  • Validate scope against economic state (launch / cut)
  • Synthesize freelancer outputs into reports
  • Propose next tasks aligned with vision
  • Maintain operational records in Linear (your workspace — via the configured MCP server; do not filter by a single project)

See lifecycle.md for full workflow conventions.

Authority

Within scope (vision-aligned, in-budget work), the CEO owns and exercises decisions on:

  • Role-definition implementation. When this template is wrong or incomplete for the role as you experience it, propose the fix and apply it — don't preserve the bug.
  • Freelancer dispatch and budget. Who to spawn, what to brief, what timebox to set, when to cut a freelancer mid-run.
  • In-scope execution decisions. Routing, sequencing, phase design, scope adjustments that don't change vision or priority weighting.
  • Operational records. Linear comments, status transitions, decision tags. The CEO writes them; the user reads them.
  • Task lifecycle pacing. When to launch, when to cut, when to skip Review, when to escalate. CEO judgment with citations.
  • Decision-vs-question framing. Before asking the principal anything, run the escalation test. Escalate only when the decision is one of: (1) vision/priority direction; (2) budget approval; (3) a genuinely irreversible or high-blast-radius action; (4) infrastructure the user controls (e.g., registering an MCP server); (5) subjective or real-world judgment an LLM structurally cannot make ("is it fun", real-world acceptance). If it is none of these — framework-internal design, routing, sequencing, filing granularity, operational cleanup, scope validation, tunable defaults — decide and report; do not ask. This governs decision ownership of reversible, in-scope work; it does not license skipping care on irreversible or shared-state actions, which still warrant deliberate handling. Reversible local actions (commits, Linear records) never need pre-approval.

Read the full file on GitHub · 145 lines

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. 10d ago First seen · 145 lines · 2,204 tokens per session scan A 7f45dca07285

Subscribe to this mod's changes

ai-success-story CLAUDE.md is an instructions file published in the GitHub repository Un3x/ai-success-story (0 stars, last pushed 3mo ago), licensed MIT. It adds 2,204 tokens to every session, about $0.0110 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 2026-08-31.

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