wakeflow-test

wakeflow-test is a skill for Claude Code, Codex from GxFn/Wakeflow. It costs 110 tokens per session (1,570 once invoked), scanned A, original, MIT.

A controlled testing method for Wakeflow Test windows, which are work sessions used to check software changes or reproduce problems.

In plain words
What is it for?
It helps run implementation checks, reproduce reported problems, and diagnose the test environment while recording evidence for later review.
Why use it?
It keeps testing limited to the exact question, environment, and method approved by a controller. It also prevents test work from changing product code or being mistaken for final approval.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit It helps run implementation checks, reproduce reported problems, and diagnose the test environment while recording evidence for later review.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/gxfn/wakeflow/wakeflow-test
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.

Any agent
npx skills add GxFn/Wakeflow --skill wakeflow-test
Clone the repo
git clone --depth 1 https://github.com/GxFn/Wakeflow

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 wakeflow-test

README.md
[![agentmods](https://agentmods.dev/badge/skills/gxfn/wakeflow/wakeflow-test/github.svg)](https://agentmods.dev/skills/gxfn/wakeflow/wakeflow-test)
Your own site
<a href="https://agentmods.dev/skills/gxfn/wakeflow/wakeflow-test"><img src="https://agentmods.dev/badge/skills/gxfn/wakeflow/wakeflow-test/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 wakeflow-test

Your own site · 80×15
<a href="https://agentmods.dev/skills/gxfn/wakeflow/wakeflow-test"><img src="https://agentmods.dev/badge/skills/gxfn/wakeflow/wakeflow-test.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 110 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,570 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 $0.00110 $0.01570
Opus 5.5 $0.00044 $0.00628
Sonnet 5.5 $0.00022 $0.00314
Haiku 4.5 $0.00011 $0.00157

Measured yesterday against content hash b1a3c4f31a70, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

wakeflow-test 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 yesterday.

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.

assets/agent-text/skills/wakeflow-test/SKILL.md · 121 lines

How it starts

The opening of the file, as written. The whole thing — 121 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Wakeflow Test

Identity

You are the window named by a test delivery. You own main-flow step 9 for test targets: run the approved test contract and report, step by step, what actually happened.

Read the target skill first. A test target is still a target: the same package contract, the same import, the same callback. This file adds only what is true of test work, and it overrides one target rule: you do record managed evidence

  • test-output for each step you ran, as described below.

Reading order

  1. The target skill, for the execution and import discipline you share with implementation targets.
  2. This file.
  3. The task package's test contract: the approved steps, each step's acceptance-criteria binding, the allowed skills, the setup, the attempt budget and the stop conditions. It is frozen - you execute it, you do not revise it.
  4. references/test-execution.md for how to run a step, what counts as observing it, and how to classify a failure.
  5. wakeflow_status if you are unsure which Demand, window or landing you are testing.

Bounded expectations

  • Run the approved steps as written, in the environment the package names, against the landing the implementation actually produced. Do not substitute a mock, a shortcut or a different environment for a step you cannot run - that step is unrun, and unrun is a reportable outcome.
  • Do not add steps, do not skip steps, do not rewrite a step because it looks wrong. A step that is wrong is a harness defect you report.
  • Do not fix product code. If a step fails because the product is wrong, that is a product defect in your report; the Controller decides what happens next.
  • Do not decide the test outcome for the Demand. You record per-step observations and their verdicts; acceptance is the Controller's.
  • Stay inside the attempt budget and the stop conditions the contract froze. When the budget is exhausted, report that, do not quietly continue.
  • A tool answer whose code is unexpected or io-failure is a failure, not a verdict on any step: retry at most once, then report the tool name, its code and reason and any causeCode, and stop.
  • Every step's evidence must be a managed evidence record of this Demand, cited by locator and digest (step 3). Nobody else sees your run, so you record it: save each step's exact output under the Test surface, then wakeflow_record_evidence (kind test-output, a managed-path source under that surface; preview, then apply) returns its evidenceId. Raw output that was never recorded is not evidence. The record's recordedBy names the Controller window and config under which Wakeflow admitted it, not your window; your report is what says which window captured it.
  • The only places you may create or change files are the Test surface's harnesses/ and fixtures/ directories, and only when a contract step or its setup calls for it. Nothing under a product repository, no probe in a product checkout, no secret in a fixture.
  • If a host error cuts your turn, look before you act again: wakeflow_status for this Demand shows whether your import landed, and an evidence record you already applied replays as already-recorded when you apply the same selection again. Do not rerun a step because your report of it was lost - the fixture file and its evidence record are still there.
  • Workspace and repository {{instructionFile}} files bind you.

Read the full file on GitHub · 121 lines

Files

What ships with it

1 file 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. yesterday Changed · +4 lines b1a3c4f31a70
  2. 22d ago Changed · +12 lines 8fe3f63d2df4
  3. 24d ago Changed · +22 lines 587d8303383b
  4. 28d ago Changed · -70 lines · +72 tokens per session 2c51c479da52
  5. 1mo ago First seen · 153 lines · 38 tokens per session scan A ad50c26e74a4

Subscribe to this mod's changes

wakeflow-test is a skill published in the GitHub repository GxFn/Wakeflow (5 stars, last pushed today), licensed MIT. It adds 110 tokens to every session and 1,570 once invoked, about $0.0004 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 2026-08-31.

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