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 skills/madappgang/claude-code/state-machinenpx skills add MadAppGang/claude-code --skill state-machinegit clone --depth 1 https://github.com/MadAppGang/claude-codeWhat 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 | $0.00020 | $0.01613 |
| Opus 5 | $0.00010 | $0.00807 |
| Sonnet 5 | $0.00004 | $0.00323 |
| Haiku 4.5 | $0.00002 | $0.00161 |
Grade A, and why
state-machine 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 3d 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 — 242 lines — stays where its author put it; the contents beside it link to each section on GitHub.
plugin: autopilot updated: 2026-01-20
Task Lifecycle State Machine
Version: 0.1.0 Purpose: Manage task state transitions with validation gates Status: Phase 1
When to Use
Use this skill when you need to:
- Understand valid state transitions for tasks
- Implement validation gates before state changes
- Handle iteration loops (In Review -> In Progress)
- Manage escalation to blocked state
- Enforce iteration limits
States
Todo ──→ In Progress ──→ In Review ──→ Done
↑ │
└───────────┘
(iteration)
In Progress ──→ Blocked (escalation)
State Definitions
| State | Description | Entry Condition |
|---|---|---|
| Todo | Task queued for execution | Created with @autopilot label |
| In Progress | Task being executed | Passed start gate |
| In Review | Awaiting validation | Proof generated |
| Done | Task completed | Auto-approved or user approved |
| Blocked | Cannot proceed | Dependency issue or escalation |
Transition Triggers
| From | To | Trigger | Gate |
|---|---|---|---|
| Todo | In Progress | Label @autopilot added | Has acceptance criteria |
| In Progress | In Review | Work complete | Proof >= 80% confidence |
| In Review | Done | Confidence >= 95% | Auto-approval |
| In Review | Done | User approves | User feedback = APPROVAL |
| In Review | In Progress | Confidence < 80% | Validation failed |
| In Review | In Progress | User requests changes | Feedback = REQUESTED_CHANGES |
| In Progress | Blocked | Max iterations | Escalation |
| * | Blocked | Unresolvable blocker | Manual trigger |
Validation Gates
Gate 1: Start Work (Todo -> In Progress)
async function canStartWork(issue: Issue): Promise<boolean> {
const checks = [
// Has acceptance criteria
extractAcceptanceCriteria(issue.description).length > 0,
// No blocking dependencies
(await getBlockingIssues(issue)).length === 0,
// Assigned to autopilot
issue.assignee?.id === AUTOPILOT_BOT_USER_ID,
];
return checks.every(c => c);
}
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.
- 3d ago First seen · 242 lines · 20 tokens per session scan A e4361f050bc0
state-machine is a skill published in the GitHub repository MadAppGang/claude-code (279 stars, last pushed 5mo ago), licensed MIT. It adds 20 tokens to every session and 1,613 once invoked, about $0.0001 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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