Borrowing it
Nothing to install: this file belongs to dungnotnull/herbal-essential-oil-extraction-agent-skill. 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/dungnotnull/herbal-essential-oil-extraction-agent-skill/main/CLAUDE.mdgit clone --depth 1 https://github.com/dungnotnull/herbal-essential-oil-extraction-agent-skillWrote 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/instructions/dungnotnull/herbal-essential-oil-extraction-agent-skill/claude-md)<a href="https://agentmods.dev/instructions/dungnotnull/herbal-essential-oil-extraction-agent-skill/claude-md"><img src="https://agentmods.dev/badge/instructions/dungnotnull/herbal-essential-oil-extraction-agent-skill/claude-md/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/instructions/dungnotnull/herbal-essential-oil-extraction-agent-skill/claude-md"><img src="https://agentmods.dev/badge/instructions/dungnotnull/herbal-essential-oil-extraction-agent-skill/claude-md.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 | $0.01538 | $0.01538 |
| Opus 5 | $0.00769 | $0.00769 |
| Sonnet 5 | $0.00308 | $0.00308 |
| Haiku 4.5 | $0.00154 | $0.00154 |
Grade A, and why
herbal-essential-oil-extraction-agent-skill CLAUDE.md 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 10d 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 — 135 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CLAUDE.md — Skill 289: herbal-essential-oil-extraction
Skill Identity
- Skill Name:
herbal-essential-oil-extraction - Tagline: Herbal Essential Oil Extraction Process Optimization — Essential Oil Extraction & Aromatic Chemistry analysis & decision-support harness.
- Version: 2.0.0 (production-ready skill-registry runtime)
- Folder:
D:\972026\289-herbal-essential-oil-extraction\
Problem This Skill Solves
This skill provides a structured, evidence-backed analytical workflow for Essential Oil Extraction & Aromatic Chemistry. It gathers authoritative real-time and reference data, applies recognized domain methods, cross-references academic research, and delivers actionable outputs that are fully evidenced, risk/limitation-disclosed, and traceable to authoritative sources — continuously self-improving through an automated knowledge crawl pipeline.
Two complementary implementations
| Layer | Path | Purpose |
|---|---|---|
| Markdown skill manifests | skills/*.md |
Human-readable Claude Code skill definitions (persona, workflow, output format, quality gates). |
| Python runtime | src/herbal_oil/ |
Deterministic, testable, offline-runnable implementation of the same contract (registry, router, agents, tools, hooks, runner). |
Both describe the same 5-step harness; the markdown is the spec, the Python is the executable reference.
Harness Flow Summary
/herbal-essential-oil-extraction invoked
-> Pre-Flight: language detect (vi|en)
-> ChainOfThoughtRouter: intent -> ordered plan (standard|comparison|risk|educational)
-> Step 1: sub-gather-requirements -> structured requirements
-> Step 2: sub-evidence-collector -> tiered evidence bundle
-> Step 3: sub-core-analysis -> method + parameters + GC-MS + yield + aroma + ISO
-> Step 4: sub-knowledge-updater -> 3-5 tiered citations + flagged gaps
-> Step 5: sub-advisor -> risk-disclosed verdict + evidence chain
-> Step 6: Quality Gates (U1-U6 + G1-G4) with auto-fix + 2-retry budget
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.
- 10d ago First seen · 135 lines · 1,538 tokens per session scan A c25d425cbe0b
herbal-essential-oil-extraction-agent-skill CLAUDE.md is an instructions file published in the GitHub repository dungnotnull/herbal-essential-oil-extraction-agent-skill (5 stars, last pushed 1mo ago), licensed MIT. It adds 1,538 tokens to every session, about $0.0077 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 2026-08-31.
Other instructions, from other repositories
next.js AGENTS.md
AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
codex AGENTS.md
AGENTS.md instructions for openai/codex, covering rust/codex-rs, the codex-core crate, code review rules, crate api surface and model visible context.
vscode buildNext.instructions.md
Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
spec-kit AGENTS.md
AGENTS.md instructions for github/spec-kit, covering agents.md, about spec kit and specify, quickstart — add a new integration in 5 steps, integration architecture and integrationmanifest — file tracking.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, applying the notice (cutover) and fallback chain (never fail the build).
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.