Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add instructions/davidmosiah/delx-wellness/agents-mdgit clone --depth 1 https://github.com/davidmosiah/delx-wellnessWrote 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/delx-wellness/agents-md)<a href="https://agentmods.dev/instructions/davidmosiah/delx-wellness/agents-md"><img src="https://agentmods.dev/badge/instructions/davidmosiah/delx-wellness/agents-md.svg" alt="Measured on agentmods" 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 | $0.00179 | $0.00179 |
| Opus 5 | $0.00089 | $0.00089 |
| Sonnet 5 | $0.00036 | $0.00036 |
| Haiku 4.5 | $0.00018 | $0.00018 |
Grade A, and why
delx-wellness 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 6d 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.
What it actually says
Agent Development Notes
Scope
This repo is the public Delx Wellness registry and documentation source of truth. It is docs/metadata only; connector code lives in separate repos.
Commands
- Validate registry JSON:
python3 -m json.tool registry.json >/dev/null - Inspect connector status:
sed -n '1,220p' docs/provider-status.md - Search registry/docs:
rg "<provider-or-package>"
Rules
- Keep
registry.json,docs/provider-status.md, connector tables, and website-facing copy in sync. - Do not commit real user health data, OAuth tokens, API secrets, private hub code, billing logic, or token-vault details.
- Keep the open-source boundary explicit: local connectors public, hosted hub/token vault private unless intentionally released.
- Maintain the disclaimer: not a medical device and not medical advice.
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.
- 6d ago First seen · 19 lines · 179 tokens per session scan A 87c4be439c7d
delx-wellness AGENTS.md is an instructions file published in the GitHub repository davidmosiah/delx-wellness (25 stars, last pushed 4d ago), licensed MIT. It adds 179 tokens to every session, about $0.0009 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 2026-08-30.
Other instructions, from other repositories
apple-health-mcp AGENTS.md
Instructions for neiltron/apple-health-mcp, covering repository guidance, project, validate changes, code map and invariants.
apple-health-mcp CLAUDE.md
Instructions for neiltron/apple-health-mcp, a project described as: Local-first Apple Health MCP server. Lets AI assistants answer questions about your sleep, workouts, activity and heart data from a local export.
google-health-mcp AGENTS.md
Instructions for davidmosiah/google-health-mcp, covering agent development notes, scope, commands and rules.
health-export-mcp AGENTS.md
AGENTS.md instructions for PhilipAD/health-export-mcp, covering using health-export-mcp with your ai client, claude desktop, cursor, vs code (copilot / continue) and opencode.
garmin_ai AGENTS.md
AGENTS.md instructions for TolmachevKirill/garmin_ai, covering agents.md — garmin health pipeline, setup / running commands, testing, ad hoc analytical questions (no exact report matches) and creating/scheduling a workout in garmin.
garmin-health-data CLAUDE.md
Claude Code instructions for diegoscarabelli/garmin-health-data, covering claude.md, readme.md, database schema architecture, schema documentation and formatting ddl files.