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-classify.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-classify)<a href="https://agentmods.dev/commands/generative-computing/mellea-skills-compiler/mellea-fy-classify"><img src="https://agentmods.dev/badge/commands/generative-computing/mellea-skills-compiler/mellea-fy-classify.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 | $0.02866 |
| Opus 5 | $0.00000 | $0.01433 |
| Sonnet 5 | $0.00000 | $0.00573 |
| Haiku 4.5 | $0.00000 | $0.00287 |
Grade A, and why
mellea-fy-classify 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 — 208 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Melleafy Step 0: Five-Axis Classification
Version: 4.0.0 | Prereq: None | Produces: classification.json
Schema: Output
intermediate/classification.jsonMUST conform to.claude/schemas/classification.schema.json.
Classify the source spec along five axes before any other step runs. The classification drives dialect selection (Step 1a), category defaults (Step 2.5), entry-point shape (Step 3), and modality validation (Step 7).
Processing order
Run axes in this order — each informs the next:
- Axis 4 — Source runtime (drives which dialect doc applies to Axes 2 and 3)
- Axis 5 — Interaction modality (explicit-first, then inferential)
- Axis 3 — Tool involvement (informed by Axis 4's dialect mapping table)
- Axis 1 — Reasoning archetype (informed by Axes 2, 3, 4)
- Axis 2 — Pipeline shape (informed by Axis 1)
Axis 1: Reasoning Archetype
What kind of thinking does the skill do?
| Type | What it does | Decomposition strategy |
|---|---|---|
| A: Analysis | Sequential phases → structured findings | Full slot decomposition, two-step enrichment |
| B: Generation | Intent + constraints → generated artifact | Decompose intent capture and draft generation |
| C: Diagnosis | Hypothesis-driven investigation with gating | Decompose reasoning; live system interaction as stubs or grounding_context |
| D1: Integration | Thin wrapper around a single service/API | Decompose only the intent classification layer |
| D2: Orchestration | Multi-step coordination of tools/agents | Decompose only the decision logic |
| E: Knowledge | Passive rules, conventions, best practices | Depends on Axis 2 (pipeline shape) |
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 · 208 lines · 0 tokens per session scan A ba16061da5ca
mellea-fy-classify is a command published in the GitHub repository generative-computing/mellea-skills-compiler (48 stars, last pushed today), licensed Apache-2.0. It costs nothing until one of its globs matches a file; then it loads 2,866 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.