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-generategit 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-generate)<a href="https://agentmods.dev/skills/generative-computing/mellea-skills-compiler/mellea-fy-generate"><img src="https://agentmods.dev/badge/skills/generative-computing/mellea-skills-compiler/mellea-fy-generate/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-generate"><img src="https://agentmods.dev/badge/skills/generative-computing/mellea-skills-compiler/mellea-fy-generate.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 3 findings, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Prompt Injection · line 25 Large whitespace padding was detected (a block of blank lines or a long run of spaces). This can push injected instructions below or to the right of the visible area so a human reviewer never sees them while the agent still reads them. Manual review of the hidden content is recommended.Fix: Remove the large whitespace padding (blank-line blocks or long space runs) and review any content hidden below or to the right of it. Keep skill files compact and reviewable so no instructions can be
- medium Prompt Injection · line 35 Large whitespace padding was detected (a block of blank lines or a long run of spaces). This can push injected instructions below or to the right of the visible area so a human reviewer never sees them while the agent still reads them. Manual review of the hidden content is recommended.Fix: Remove the large whitespace padding (blank-line blocks or long space runs) and review any content hidden below or to the right of it. Keep skill files compact and reviewable so no instructions can be
- medium Prompt Injection · line 37 Large whitespace padding was detected (a block of blank lines or a long run of spaces). This can push injected instructions below or to the right of the visible area so a human reviewer never sees them while the agent still reads them. Manual review of the hidden content is recommended.Fix: Remove the large whitespace padding (blank-line blocks or long space runs) and review any content hidden below or to the right of it. Keep skill files compact and reviewable so no instructions can be
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 | $0.00025 | $0.06991 |
| Opus 5 | $0.00013 | $0.03495 |
| Sonnet 5 | $0.00005 | $0.01398 |
| Haiku 4.5 | $0.00003 | $0.00699 |
Grade A, and why
mellea-fy-generate scanned grade A with 2 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
from urllib.parse import urlparse Runs shell commandslowCapability
Expected in a hook, worth knowing in a rule or an instructions file.
- Modes that read from stdin (e.g. `input=$(cat)` in the script body) → call `subprocess.run(..., input=target, capture_output=True, text=True)`. Do NOT append `target` to the command list. How it starts
The opening of the file, as written. The whole thing — 493 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Melleafy Steps 3 + 5: Skeleton Emission and Body Generation
Version: 4.3.0 (2026-04-28) | Prereq: dependency_plan.json (Step 2.5 complete) | Produces: Populated Python package
Output path rule (Rule OUT-3): All
.pyfiles (pipeline.py,config.py,schemas.py,main.py, etc.) are written inside<package_name>/.pyproject.tomlis the only file written at the skill root (NOT inside<package_name>/). Seemellea-fy.md§Output directory layout for the full tree.
Step 3 emits skeleton files (imports, signatures, docstring placeholders) from the element mapping and dependency plan. Step 5 invokes the LLM to fill in every code body. Read /mellea-fy-behaviours before generating any code — the Known Behaviours mitigations must be baked into every generated file.
Step 3: File set and skeleton emission
File set determined by mapping + dependency plan
| File | When generated |
|---|---|
pipeline.py |
Always |
schemas.py |
Always (at minimum contains Final[str] placeholder if no schemas found) |
config.py |
Always (persona text, model ID, loop budgets from dependency_plan.json:bundle entries) |
requirements.py |
When any VALIDATE_OUTPUT elements exist |
slots.py |
When any EXTRACT or CLASSIFY elements map to @generative |
tools.py |
When any C6 element has disposition real_impl |
constrained_slots.py |
When any C6 element has disposition stub or delegate_to_runtime |
mobjects.py |
When any TRANSFORM or QUERY elements exist |
loader.py |
When any C3 element has disposition load_from_disk |
main.py |
Always (CLI entry point) |
pyproject.toml |
Always |
SETUP.md |
When any C4, C5, C9, non-bundled C6, C7, non-default C8, or host-needing modality |
README.md |
Always |
melleafy.json |
Always (skeleton in Step 3; finalised in Step 6) |
dependencies.yaml |
When any C6/C7/C8 entry is non-bundle |
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.
- 2d ago Changed 0e586d20f314
- 10d ago First seen · 493 lines · 25 tokens per session scan A b73815b1ec9e
mellea-fy-generate is a skill published in the GitHub repository generative-computing/mellea-skills-compiler (49 stars, last pushed 2d ago), licensed Apache-2.0. It adds 25 tokens to every session and 6,991 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 2 findings (makes network calls, runs shell commands). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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