mellea-fy-fixtures

mellea-fy-fixtures is a skill for Claude Code, Codex from generative-computing/mellea-skills-compiler. It costs 18 tokens per session (1,285 once invoked), scanned A, original, Apache-2.0.

A fixture-specification step for a workflow that converts agent skill descriptions into typed Python packages. It writes one JSON file describing 5–8 test fixtures.

In plain words
What is it for?
Use it after the package skeleton is created to describe fixtures for at least three categories of behavior. A later process can use this specification to generate the fixture code.
Why use it?
It separates test-fixture planning from Python code generation and keeps the result in a defined JSON format.

Skill for Claude CodeCodex

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

Good fit Use it after the package skeleton is created to describe fixtures for at least three categories of behavior. A later process can use this specification to generate the fixture code.

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Install with agentmods
npx agentmods add skills/generative-computing/mellea-skills-compiler/mellea-fy-fixtures
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 generative-computing/mellea-skills-compiler --skill mellea-fy-fixtures
Clone the repo
git clone --depth 1 https://github.com/generative-computing/mellea-skills-compiler

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 mellea-fy-fixtures

README.md
[![agentmods](https://agentmods.dev/badge/skills/generative-computing/mellea-skills-compiler/mellea-fy-fixtures/github.svg)](https://agentmods.dev/skills/generative-computing/mellea-skills-compiler/mellea-fy-fixtures)
Your own site
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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 mellea-fy-fixtures

Your own site · 80×15
<a href="https://agentmods.dev/skills/generative-computing/mellea-skills-compiler/mellea-fy-fixtures"><img src="https://agentmods.dev/badge/skills/generative-computing/mellea-skills-compiler/mellea-fy-fixtures.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 18 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,285 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00018 $0.01285
Opus 5 $0.00009 $0.00642
Sonnet 5 $0.00004 $0.00257
Haiku 4.5 $0.00002 $0.00128

Measured 11d ago against content hash fb3f1f071a55, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

mellea-fy-fixtures 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 11d 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.

.bob/skills/mellea-fy-fixtures/SKILL.md · 106 lines

How it starts

The opening of the file, as written. The whole thing — 106 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Melleafy Step 4: Fixture Generation

Version: 4.2.1 | Prereq: Step 3 complete (skeleton emitted with finalised run_pipeline signature) | Produces: fixtures_emission.json

Schema: Output intermediate/fixtures_emission.json MUST conform to schemas/fixtures_emission.schema.json

Output path rule (Rule OUT-4): Step 4 produces ONLY intermediate/fixtures_emission.json in the intermediate directory. This JSON file contains fixture specifications that will be used by downstream processes. DO NOT generate any Python source files — no fixtures/ directory, no .py files, no __init__.py. The fixture source code generation is handled by a separate process outside this skill.

CRITICAL: This step generates ONLY the JSON specification file.

Step 4 generates fixture specifications for 5–8 test fixtures covering ≥3 C-categories. The output is a single JSON file conforming to the schema.

Rule 4-1 — JSON-only fixture specification: Generate all fixture specifications in a single JSON object conforming to schemas/fixtures_emission.schema.json. The invocation receives the run_pipeline signature, the element mapping summary, and the C-category coverage requirement, and returns one JSON object — not Python source. This skill's output is ONLY the JSON file. Do not generate Python fixture files, do not create a fixtures/ directory, do not write __init__.py or individual fixture modules.


CRITICAL: Input parameter matching

The keys in every fixture's inputs object MUST be identical to the parameter names of the run_pipeline function in pipeline.py. This is not optional. A fixture with {"text": "..."} for a pipeline that expects run_pipeline(user_query=...) will fail at runtime with a TypeError. Before emitting JSON, verify the exact parameter names from the generated pipeline function. The schema cannot enforce this — it's the model's responsibility to match.


Fixture structure

The model emits one JSON object saved as intermediate/fixtures_emission.json. This is the only output of Step 4.

Read the full file on GitHub · 106 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. 11d ago First seen · 106 lines · 18 tokens per session scan A fb3f1f071a55

Subscribe to this mod's changes

mellea-fy-fixtures is a skill published in the GitHub repository generative-computing/mellea-skills-compiler (49 stars, last pushed today), licensed Apache-2.0. It adds 18 tokens to every session and 1,285 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.