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-inventory.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-inventory)<a href="https://agentmods.dev/commands/generative-computing/mellea-skills-compiler/mellea-fy-inventory"><img src="https://agentmods.dev/badge/commands/generative-computing/mellea-skills-compiler/mellea-fy-inventory/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-inventory"><img src="https://agentmods.dev/badge/commands/generative-computing/mellea-skills-compiler/mellea-fy-inventory.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 | $0.03075 |
| Opus 5 | $0.00000 | $0.01537 |
| Sonnet 5 | $0.00000 | $0.00615 |
| Haiku 4.5 | $0.00000 | $0.00308 |
Grade A, and why
mellea-fy-inventory 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 — 173 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Melleafy Steps 1a + 1b: File Inventory and Element Tagging
Version: 4.1.0 | Prereq: classification.json | Produces: inventory.json
Schema: Output
intermediate/inventory.jsonMUST conform to.claude/schemas/inventory.schema.json.
Step 1a reads files from the source based on the detected runtime's dialect. Step 1b takes those files and produces inventory.json — every significant element tagged with one of 17 tags and assigned to one of 9 dependency categories.
Step 1a: File Inventory
Read source files per the runtime's dialect. The dialect doc at docs/dialects/<runtime>.md defines exactly which files to read and their roles.
| Runtime | Primary files | Roles |
|---|---|---|
openclaw |
SOUL.md, AGENTS.md, SETUP.md (opt), *.md companions |
C1 identity, C2 operating rules, C8 runtime env |
claude_code |
CLAUDE.md, .claude/commands/*.md, frontmatter files |
C1-C2 per frontmatter; C6 for tool declarations |
agent_skills_std |
Single .md file with YAML frontmatter |
All roles from frontmatter + body |
letta |
.af JSON file |
Parsed as JSON with json:<jq-path> source references |
crewai |
crew.py, agents.yaml, tasks.yaml, tools.py |
Python AST + YAML |
langgraph |
Python files with StateGraph construction |
py:<file>:<range> source references |
autogen |
Python files with AssistantAgent/UserProxyAgent, OAI_CONFIG_LIST |
Version split: from autogen import = 0.2; from autogen_agentchat = 0.4 |
openai_agents_sdk |
Python files with Agent(, Runner.run_sync( |
py:<file>:<range> source references |
smolagents |
Python files with CodeAgent(/ToolCallingAgent( |
py:<file>:<range> source references |
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 · 173 lines · 0 tokens per session scan A 5742e2069058
mellea-fy-inventory 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 3,075 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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