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-artifacts.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-artifacts)<a href="https://agentmods.dev/commands/generative-computing/mellea-skills-compiler/mellea-fy-artifacts"><img src="https://agentmods.dev/badge/commands/generative-computing/mellea-skills-compiler/mellea-fy-artifacts.svg" alt="Measured on agentmods" 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 | $0.03044 |
| Opus 5 | $0.00000 | $0.01522 |
| Sonnet 5 | $0.00000 | $0.00609 |
| Haiku 4.5 | $0.00000 | $0.00304 |
Grade A, and why
mellea-fy-artifacts 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 8d 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 — 213 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Melleafy Step 6: Supporting Artifact Generation
Version: 4.1.2 | Prereq: Step 5 complete | Produces: mapping_report.md, melleafy.json, SETUP.md, README.md, SKILL.md (non-.md sources only)
Schema: Output
melleafy.jsonMUST conform to.claude/schemas/melleafy.schema.json.
Output path rule (Rule OUT-3): All files produced by Step 6 (
mapping_report.md,melleafy.json,SETUP.md,README.md,SKILL.md) are written inside<package_name>/— NOT at the skill root. Seemellea-fy.md§Output directory layout for the full tree.
Step 6 produces all human-facing documentation. LLM invocations here are narrative-only — structured data (melleafy.json, dependencies.yaml) is generated deterministically from dependency_plan.json. No modification of Python files.
Mapping report (mapping_report.md)
Nine sections in fixed order — non-negotiable (section headers are mechanically consistent so automated tools can locate them):
-
Classification — the five axes from
classification.jsonin reader-friendly order (archetype → shape → tool involvement → source runtime → modality). Includes the one-paragraph LLM-generated classification narrative and the R14 auto-mode recap callout if applicable. -
Decomposition Summary — element counts by tag and category (cross-tab table), aggregate statistics: coverage ratio from Step 1b, total element count, unique source files.
-
Element Mapping — every element with
element_id, source location, tag, category, mapped target file, and target symbol. Grouped by target file for readability. -
Judgment Calls — elements flagged with
llm_judgement_required: truefrom Step 2, plus Step 5 retries withattempts > 1. Each entry includes a LLM-generated one-paragraph explanation referencing the specific tag, category, or recipe involved (generic explanations trigger retry). -
Removed During Audit — table from
element_mapping_amendments.json:removed[]with rationale per row. If no elements were removed, writes "No elements removed during audit."
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.
- 8d ago First seen · 213 lines · 0 tokens per session scan A e92309416813
mellea-fy-artifacts is a command published in the GitHub repository generative-computing/mellea-skills-compiler (48 stars, last pushed yesterday), licensed Apache-2.0. It costs nothing until one of its globs matches a file; then it loads 3,044 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.
Other commands, from other repositories
checklist
Generate a custom checklist for the current feature based on user requirements.
clarify
Identify underspecified areas in the current feature spec by asking up to 5 highly targeted clarification questions and encoding answers back into the spec.
specify
Create or update the feature specification from a natural language feature description.
converge
Assess the current codebase against the feature's spec, plan, and tasks, then append any remaining unbuilt work as new tasks to tasks.md so implement can complete it.
implement
Execute the implementation plan by processing and executing all tasks defined in tasks.md.
analyze
Perform a non-destructive cross-artifact consistency and quality analysis across spec.md, plan.md, and tasks.md after task generation.