Borrowing it
Nothing to install: this file belongs to dungnotnull/fog-water-harvester-design-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/fog-water-harvester-design-agent-skill/main/CLAUDE.mdgit clone --depth 1 https://github.com/dungnotnull/fog-water-harvester-design-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/fog-water-harvester-design-agent-skill/claude-md)<a href="https://agentmods.dev/instructions/dungnotnull/fog-water-harvester-design-agent-skill/claude-md"><img src="https://agentmods.dev/badge/instructions/dungnotnull/fog-water-harvester-design-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/fog-water-harvester-design-agent-skill/claude-md"><img src="https://agentmods.dev/badge/instructions/dungnotnull/fog-water-harvester-design-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 | $0.01202 | $0.01202 |
| Opus 5 | $0.00601 | $0.00601 |
| Sonnet 5 | $0.00240 | $0.00240 |
| Haiku 4.5 | $0.00120 | $0.00120 |
Grade A, and why
fog-water-harvester-design-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 11d 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 — 127 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CLAUDE.md ? Skill 305: fog-water-harvester-design
Skill Identity
- Skill Name:
fog-water-harvester-design - Tagline: Fog-Water Harvester Design & Testing for Arid Highlands ? Fog-Water Collection Engineering & Atmospheric Water analysis & decision-support harness.
- Version: 2.0.0 (production-grade open-source refactor)
- Status: PRODUCTION READY
- Folder:
D:\972026\305-fog-water-harvester-design\
Problem This Skill Solves
A structured, evidence-backed analytical workflow for Fog-Water Collection Engineering & Atmospheric Water. 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.
Harness Flow Summary
/fog-water-harvester-design invoked
? pre-flight: language detection (on_language hook)
?? Step 1: sub-gather-requirements ? requirements object
?? Step 2: sub-evidence-collector ? evidence bundle (fetch_evidence tool)
?? Step 3: sub-core-analysis ? scorecard (fog_physics tools)
?? Step 4: sub-knowledge-updater ? citations + gaps (query_knowledge tool)
?? Step 5: sub-advisor ? risk-disclosed verdict
?? Step 6: main (quality gate) ? validate_report vs report.schema.json
The chain is resolved by fog_skill.SkillRegistry.resolve_chain; lifecycle
hooks fire before/after each skill and tool; token budgets are enforced by
fog_skill.context.ContextWindow; degradation banners by the on_degradation
policy hook.
Sub-Skills
| File | Step | Purpose |
|---|---|---|
skills/sub-gather-requirements.md |
1 | intake |
skills/sub-evidence-collector.md |
2 | authoritative evidence |
skills/sub-core-analysis.md |
3 | mesh, CE, yield, siting, treatment |
skills/sub-knowledge-updater.md |
4 | knowledge citations + gaps |
skills/sub-advisor.md |
5 | risk-disclosed synthesis |
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.
- 11d ago First seen · 127 lines · 1,202 tokens per session scan A 95783e110b32
fog-water-harvester-design-agent-skill CLAUDE.md is an instructions file published in the GitHub repository dungnotnull/fog-water-harvester-design-agent-skill (5 stars, last pushed 1mo ago), licensed MIT. It adds 1,202 tokens to every session, about $0.0060 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.
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.
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).