Borrowing it
Nothing to install: this file belongs to dungnotnull/organic-honey-forest-beekeeping-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/organic-honey-forest-beekeeping-agent-skill/main/CLAUDE.mdgit clone --depth 1 https://github.com/dungnotnull/organic-honey-forest-beekeeping-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/organic-honey-forest-beekeeping-agent-skill/claude-md)<a href="https://agentmods.dev/instructions/dungnotnull/organic-honey-forest-beekeeping-agent-skill/claude-md"><img src="https://agentmods.dev/badge/instructions/dungnotnull/organic-honey-forest-beekeeping-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/organic-honey-forest-beekeeping-agent-skill/claude-md"><img src="https://agentmods.dev/badge/instructions/dungnotnull/organic-honey-forest-beekeeping-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 | $0.01591 | $0.01591 |
| Opus 5 | $0.00796 | $0.00796 |
| Sonnet 5 | $0.00318 | $0.00318 |
| Haiku 4.5 | $0.00159 | $0.00159 |
Grade A, and why
organic-honey-forest-beekeeping-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 — 150 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CLAUDE.md — Skill 306: organic-honey-forest-beekeeping
Skill Identity
- Skill Name:
organic-honey-forest-beekeeping - Tagline: Organic Honey Beekeeping Model in Protected Forests — Organic Forest Beekeeping & Pollinator Ecology analysis & decision-support harness.
- Version: 2.0.0 (production-grade agent framework)
- Current Phase: Phase 7 — Production Framework Upgrade (COMPLETE)
- Folder:
D:\972026\306-organic-honey-forest-beekeeping\
Problem This Skill Solves
This skill provides a structured, evidence-backed analytical workflow for Organic Forest Beekeeping & Pollinator Ecology. 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.
Architecture (v2.0 — modular skill-registry framework)
/organic-honey-forest-beekeeping [query]
|
HarnessRunner (src/organic_honey/runner.py)
| | |
SkillRegistry ChainOfThoughtRouter ToolRegistry
(skills/*.md) (default+branching) (schemas+handlers)
| | |
ContextManager(token budget) LLMClient(online+offline fallback)
|
Steps 1-5 sub-skills -> Quality Gates (U1-U6 + G1-G4) -> Report + logs/agent.jsonl
Harness flow (markdown skills): requirements -> evidence -> core analysis ->
knowledge -> synthesis -> quality gate. See SKILL.md for the registry contract
and PROJECT-detail.md for the full architecture diagram.
Sub-Skills
| skills/sub-gather-requirements.md | Step 1 — Clarify object, constraints, timeframe, inputs, audience, language. |
| skills/sub-evidence-collector.md | Step 2 — Fetch authoritative real-time + reference data. |
| skills/sub-core-analysis.md | Step 3 — Forage & hive placement, organic practices, honey quality, ecology. |
| skills/sub-knowledge-updater.md | Step 4 — Query SECOND-KNOWLEDGE-BRAIN; surface citations + flag gaps. |
| skills/sub-advisor.md | Step 5 — Synthesize risk-disclosed conclusion + evidence chain + actions. |
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 · 150 lines · 1,591 tokens per session scan A dfd4076a5c7f
organic-honey-forest-beekeeping-agent-skill CLAUDE.md is an instructions file published in the GitHub repository dungnotnull/organic-honey-forest-beekeeping-agent-skill (5 stars, last pushed 1mo ago), licensed MIT. It adds 1,591 tokens to every session, about $0.0080 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.
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