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.
npx skills add generative-computing/mellea-skills-compiler --skill mellea-fy-classifygit 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/skills/generative-computing/mellea-skills-compiler/mellea-fy-classify)<a href="https://agentmods.dev/skills/generative-computing/mellea-skills-compiler/mellea-fy-classify"><img src="https://agentmods.dev/badge/skills/generative-computing/mellea-skills-compiler/mellea-fy-classify/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/skills/generative-computing/mellea-skills-compiler/mellea-fy-classify"><img src="https://agentmods.dev/badge/skills/generative-computing/mellea-skills-compiler/mellea-fy-classify.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00020 | $0.02945 |
| Opus 5 | $0.00010 | $0.01473 |
| Sonnet 5 | $0.00004 | $0.00589 |
| Haiku 4.5 | $0.00002 | $0.00295 |
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 9d 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 — 217 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 toschemas/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 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.
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.
- 9d ago First seen · 217 lines · 20 tokens per session scan A f3d0d3a19dab
mellea-fy-classify is a skill published in the GitHub repository generative-computing/mellea-skills-compiler (48 stars, last pushed yesterday), licensed Apache-2.0. It adds 20 tokens to every session and 2,945 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.
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