Borrowing it
Nothing to install: this file belongs to generative-computing/mellea-skills-compiler. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/generative-computing/mellea-skills-compiler/main/.claude/commands/mellea-fy-fixtures.mdgit clone --depth 1 https://github.com/generative-computing/mellea-skills-compilerWrote 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.
[](https://agentmods.dev/commands/generative-computing/mellea-skills-compiler/mellea-fy-fixtures)<a href="https://agentmods.dev/commands/generative-computing/mellea-skills-compiler/mellea-fy-fixtures"><img src="https://agentmods.dev/badge/commands/generative-computing/mellea-skills-compiler/mellea-fy-fixtures/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.
<a href="https://agentmods.dev/commands/generative-computing/mellea-skills-compiler/mellea-fy-fixtures"><img src="https://agentmods.dev/badge/commands/generative-computing/mellea-skills-compiler/mellea-fy-fixtures.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00000 | $0.01961 |
| Opus 5 | $0.00000 | $0.00981 |
| Sonnet 5 | $0.00000 | $0.00392 |
| Haiku 4.5 | $0.00000 | $0.00196 |
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 12d 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 — 176 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Melleafy Step 4: Fixture Generation
Version: 4.1.1 | Prereq: Step 3 complete (skeleton emitted with finalised run_pipeline signature) | Produces: <package_name>/fixtures/
Output path rule (Rule OUT-4):
fixtures/is written inside<package_name>/— NOT at the skill root. It is test-only and intentionally excluded from the installed package bypyproject.toml's[tool.setuptools.packages.find]. Run fixtures viapython -m pytest <package_name>/fixtures/from the skill root.
Step 4 generates 5–8 test fixtures covering ≥3 C-categories. Fixtures are the primary means by which the generated package can be validated at runtime (Step 7's lints are static-only).
Rule 4-1 — Batched fixture generation as JSON: Generate all fixture specifications in a single LLM invocation. The invocation receives the
run_pipelinesignature, the element mapping summary, and the C-category coverage requirement, and returns one JSON object conforming to.claude/schemas/fixtures_emission.schema.json— not Python source. The deterministic writer at.claude/melleafy/writers/fixtures_writer.pyrenders the per-fixture.pyfiles plusfixtures/__init__.pyfrom that JSON. The model never writes Python source for fixtures directly. This makes shape drift (pytest-style tests,INPUT-only modules, hand-rolled__init__.pyexports) structurally unreachable — every legal JSON instance produces a contract-correct fixture package.
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
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.
- 12d ago First seen · 176 lines · 0 tokens per session scan A 0ce8b00954ec
mellea-fy-fixtures is a command published in the GitHub repository generative-computing/mellea-skills-compiler (50 stars, last pushed 2d ago), licensed Apache-2.0. It costs nothing until one of its globs matches a file; then it loads 1,961 tokens. 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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