graphyloop-waves

graphyloop-waves is a skill for Claude Code, Codex from chadixearth/graphyloop. It costs 63 tokens per session (982 once invoked), scanned A, original, MIT.

A planning method for work that spans multiple parts of a software system, such as the database, server, user interface, and data import or export. It divides the work into ordered waves with a shared contract and checks for each part.

In plain words
What is it for?
Use it for multi-layer features such as dashboards with data storage and APIs, systems with import pipelines, or applications requiring coordinated builders, integration, and verification.
Why use it?
It reduces conflicts and incompatible implementations when several parts of a feature must be built together. Dependencies are settled before parallel work begins.

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/chadixearth/graphyloop/graphyloop-waves
Any agent
npx skills add chadixearth/graphyloop --skill graphyloop-waves
Clone the repo
git clone --depth 1 https://github.com/chadixearth/graphyloop

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 graphyloop-waves

README.md
[![agentmods](https://agentmods.dev/badge/skills/chadixearth/graphyloop/graphyloop-waves.svg)](https://agentmods.dev/skills/chadixearth/graphyloop/graphyloop-waves)
Your own site
<a href="https://agentmods.dev/skills/chadixearth/graphyloop/graphyloop-waves"><img src="https://agentmods.dev/badge/skills/chadixearth/graphyloop/graphyloop-waves.svg" alt="Measured on agentmods" height="20"></a>
Per session 63 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 982 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00063 $0.00982
Opus 5 $0.00032 $0.00491
Sonnet 5 $0.00013 $0.00196
Haiku 4.5 $0.00006 $0.00098

Measured 3d ago against content hash 13e8473eb536, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

graphyloop-waves 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.

skills/graphyloop-waves/SKILL.md · 78 lines

How it starts

The opening of the file, as written. The whole thing — 78 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Wave dispatch (contract-first fan-out)

Multi-layer work fails two ways: built serially it takes the sum of its lanes, and fanned out without a frozen contract it produces three incompatible versions of the same table. This skill is the third option.

When to activate

  • The request names two or more of: schema/data, API/server, UI/pages, import/export pipeline.
  • Words like "system", "app", "platform", "management", "dashboard + data".
  • NOT for a one-file change, a rename, or a single endpoint — fan-out only adds integration cost there.

The pipeline

Wave 0  contract      ONE agent, alone. Nothing else starts until it lands.
Wave 1  builders      data ∥ backend ∥ frontend ∥ tests   (ONE tool-call block)
Wave 2  integration   drop mocks, real calls, env wiring, boot the happy path
Wave 3  verify        test ∥ typecheck/lint ∥ security ∥ performance ∥ review
Wave 4  deploy        preflight → preview → GATED production

Wall clock = Wave 0 + slowest builder + integration + slowest verifier. Never the sum.

Procedure

  1. Plan, do not improvise. Call plan_feature / graphyloop_plan_feature with the user's request verbatim as goal. It returns waves, tasks, per-lane owns globs, acceptance checks and dependsOn.
    • shape: no-fanout → stop. This is inline or single-builder work.
  2. Freeze the contract (Wave 0). One agent writes .opencode/chadi/contract-<slug>.md:
    • entities: columns, types, nullability, foreign keys, indexes
    • every route: method, path, request shape, response JSON, error codes
    • components/pages: props and route paths
    • test scenarios that define done (happy path + 2 edge cases per entity)
    • the env keys the feature needs No implementation code in this wave. If the contract is wrong later, stop and fix the contract — never let a lane drift from it silently.
  3. Dispatch by dependency, not by optimism. Pass plan.tasks to task_distribute. Dispatch ONLY the ids in dispatchNow. blocked entries name what they are waiting on.
  4. Fan out a whole wave in ONE tool-call block. Every prompt carries: the contract path, that lane's exclusive file list, its acceptance check.
  5. Record every result. task_record returns what the result unblocked — that is the trigger for the next wave. After a restart or compaction, swarm_state reports readyTasks, blockedTasks and per-wave counts.
  6. Integration is one wave, not a habit. Only Wave 2 may touch two lanes at once. Everywhere else, file ownership is exclusive.

Read the full file on GitHub · 78 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. 3d ago First seen · 78 lines · 63 tokens per session scan A 13e8473eb536

Subscribe to this mod's changes

graphyloop-waves is a skill published in the GitHub repository chadixearth/graphyloop (2 stars, last pushed 17d ago), licensed MIT. It adds 63 tokens to every session and 982 once invoked, about $0.0003 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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