graph-execution

graph-execution is a skill for Claude Code, Codex from richfrem/agent-plugins-skills. It costs 33 tokens per session (1,253 once invoked), scanned A, original, MIT.

Executes complex workflows using deterministic graph-state machines, explicit transition guards, transactional worktree isolation, receipt gates, and automatic rollback on verification failure.

Skill for Claude CodeCodex

Install

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.

agentmods
npx agentmods add skills/richfrem/agent-plugins-skills/graph-execution
Any agent
npx skills add richfrem/agent-plugins-skills --skill graph-execution
Clone the repo
git clone --depth 1 https://github.com/richfrem/agent-plugins-skills

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 graph-execution

README.md
[![agentmods](https://agentmods.dev/badge/skills/richfrem/agent-plugins-skills/graph-execution.svg)](https://agentmods.dev/skills/richfrem/agent-plugins-skills/graph-execution)
Your own site
<a href="https://agentmods.dev/skills/richfrem/agent-plugins-skills/graph-execution"><img src="https://agentmods.dev/badge/skills/richfrem/agent-plugins-skills/graph-execution.svg" alt="Measured on agentmods" height="20"></a>
Per session 33 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,253 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin unknown 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 $0.00033 $0.01253
Opus 5 $0.00016 $0.00626
Sonnet 5 $0.00007 $0.00251
Haiku 4.5 $0.00003 $0.00125

Measured today against content hash 83ed0b2c2523, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

graph-execution 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.

plugins/agent-orchestration/skills/graph-execution/SKILL.md · 101 lines

How it starts

The opening of the file, as written. The whole thing — 101 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Graph-Planned Execution (Deterministic State Machine Protocol)

Provides a deterministic, graph-planned execution primitive for tasks requiring formal state tracking, non-negotiable human approval gates, isolated worktree sandboxing, and guaranteed safe rollback.


1. Overview: Loops vs. Graphs

While standard agent loops rely on conversational context to decide next steps, Graph Execution models tasks as a formal Directed Acyclic Graph (DAG) or finite state machine:

stateDiagram-v2
    [*] --> TRIAGE: Task / Error Trigger
    TRIAGE --> PLAN: 4-Box Automation Gate Passed
    PLAN --> AWAITING_APPROVAL: Transaction Manifest Formulated
    AWAITING_APPROVAL --> AUTHORIZED: User Explicit Approval ("Proceed")
    AUTHORIZED --> CREATE_WORKTREE: Worktree Sandbox Initialized
    CREATE_WORKTREE --> EXECUTE: Mutation Attempt (1-3)
    EXECUTE --> VERIFY_GATE: Objective Verifier Run
    VERIFY_GATE --> PRE_COMMIT_RECEIPT: Verifier Passed (exit 0)
    VERIFY_GATE --> PLAN: Verifier Failed (Attempts < 3)
    VERIFY_GATE --> ROLLBACK: Verifier Failed (Attempts == 3)
    PRE_COMMIT_RECEIPT --> COMMIT: Staged Tree Validated & Committed
    ROLLBACK --> FINAL_RECEIPT: Layer 2 Transferred & Worktree Removed
    COMMIT --> FINAL_RECEIPT: Local Cycle Successful
    FINAL_RECEIPT --> [*]: Terminal Receipt Logged

2. The Core Invariants

  1. State in Files, Not Prompts: The active node, attempt count, and operation bounds are stored in .agent/learning/evolution_state.json and mediated by a deterministic controller script (e.g., evolution_state.py).
  2. Proposal Mode Invariant (Read-Only Planning): Prior to explicit user approval (AWAITING_APPROVAL), the agent executes zero state-changing operations, creates no git worktrees, and runs no mutations.
  3. Transactional Worktree Sandboxing: Mutations are executed inside an isolated git worktree (../worktree-evolution-<cid>), keeping the main checkout 100% clean during execution.
  4. Verifier Sovereignty: The agent cannot modify the test scripts, holdout sets, or evaluation criteria that judge its own work. Pre-execution hashes of verifiers are locked.
  5. Asymmetric Persistence: If a task fails after maximum retry attempts (e.g., 3 attempts):
    • Code changes are safely rolled back and the worktree is deleted.
    • Failure learnings, negative constraints, and reproduction notes are permanently preserved in Layer 2 Markdown playbooks and debt logs before worktree teardown.
  6. Integrity Receipts: No commit is permitted without an Evolution Integrity Receipt (EVO-INTEGRITY-<cid>-<hash>) binding the exact staged git tree to the audit event sequence.

Read the full file on GitHub · 101 lines

Files

What ships with it

3 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. today First seen · 101 lines · 33 tokens per session scan A 83ed0b2c2523

Subscribe to this mod's changes

graph-execution is a skill published in the GitHub repository richfrem/agent-plugins-skills (6 stars, last pushed today), licensed MIT. It adds 33 tokens to every session and 1,253 once invoked, about $0.0002 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 2026-09-03.

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