Borrowing it
Nothing to install: this file belongs to davidmosiah/wellness-air. 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/davidmosiah/wellness-air/main/AGENTS.mdgit clone --depth 1 https://github.com/davidmosiah/wellness-airWrote 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/davidmosiah/wellness-air/agents-md)<a href="https://agentmods.dev/instructions/davidmosiah/wellness-air/agents-md"><img src="https://agentmods.dev/badge/instructions/davidmosiah/wellness-air/agents-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/davidmosiah/wellness-air/agents-md"><img src="https://agentmods.dev/badge/instructions/davidmosiah/wellness-air/agents-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 | $0.00577 | $0.00577 |
| Opus 5.5 | $0.00231 | $0.00231 |
| Sonnet 5.5 | $0.00115 | $0.00115 |
| Haiku 4.5 | $0.00058 | $0.00058 |
Grade A, and why
wellness-air AGENTS.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 2mo 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 — 47 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md — wellness-air
Notes for AI agents and human contributors working on this repo.
What this is
A local-first MCP server that exposes air-quality readings (PM2.5, CO₂, AQI, etc.) to any MCP-aware agent. v0.1 ships full AirGradient support; AirThings/PurpleAir/IQAir/Awair are scaffolded.
Source layout
src/index.ts— MCP entry. Registers tools, runs stdio or Streamable HTTP.src/constants.ts— Versions, provider list, default ports/hosts.src/services/airgradient-client.ts— Public + owned AirGradient API client. Implements US EPA AQI conversion from PM2.5.src/services/{capabilities,privacy-audit,agent-manifest}.ts— Standard manifest surfaces.src/tools/air-tools.ts— All 10 tools registered with the MCP server.src/cli/commands.ts—doctor,setup,status,currentCLI commands.
Tool naming
All tools follow the air_<verb_or_noun> pattern. Resources use the wellness-air:// scheme.
Adding a provider in v0.2
- Create
src/services/<provider>-client.tsmodeled onairgradient-client.ts. Keep theAirReadingshape consistent. - Wire the provider into
air_current_readingandair_daily_summaryswitch insrc/tools/air-tools.ts. - Add provider env vars to
src/services/capabilities.tsconfigured-detection. - Update
src/services/agent-manifest.tsoptional_env. - Add provider notes to
src/services/privacy-audit.ts. - Bump
SERVER_VERSIONinsrc/constants.tsANDversionin bothpackage.jsonandserver.json.
Testing
npm testruns typecheck + build + smoke + metadata check.npm run smokeexercises the MCP tool surface against a public AirGradient sensor.npm run test:metadataensurespackage.json/server.jsonversions stay in sync.
Privacy contract
- AirGradient public reads = no auth, no PII, no token storage.
- Owned-sensor reads =
AIRGRADIENT_API_TOKENfrom env, never returned in tool output. - All cached data lives under
~/.wellness-air(override withWELLNESS_AIR_LOCAL_DIR). - No third-party telemetry. The only outbound call goes to the configured provider.
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.
- 2mo ago First seen · 47 lines · 577 tokens per session scan A 4fce6b77b7bf
wellness-air AGENTS.md is an instructions file published in the GitHub repository davidmosiah/wellness-air (0 stars, last pushed yesterday), licensed MIT. It adds 577 tokens to every session, about $0.0023 per session on Opus 5.5. 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.
wellness-air AGENTS.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| wellness-air AGENTS.mddavidmosiah/wellness-air | Instructions file | 0 | yesterday | MIT | A | 577 | Codex, OpenCode |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 9,719 | GitHub Copilot |
| next.js AGENTS.mdvercel/next.js | Instructions file | 143k | yesterday | MIT | A | 7,461 | Codex, OpenCode |
| langchain AGENTS.mdlangchain-ai/langchain | Instructions file | 149k | yesterday | MIT | A | 4,680 | Codex, OpenCode |
| vscode oss-third-party-notices.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 5,516 | GitHub Copilot |
| vscode copilot-instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 3,093 | GitHub Copilot |
| deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness | Instructions file | 274k | 2d ago | MIT | A | 4,313 | Codex, OpenCode |