Borrowing it
Nothing to install: this file belongs to KenLSM/node-huckleberry-mcp. 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/KenLSM/node-huckleberry-mcp/main/CLAUDE.mdgit clone --depth 1 https://github.com/KenLSM/node-huckleberry-mcpWrote 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/kenlsm/node-huckleberry-mcp/claude-md)<a href="https://agentmods.dev/instructions/kenlsm/node-huckleberry-mcp/claude-md"><img src="https://agentmods.dev/badge/instructions/kenlsm/node-huckleberry-mcp/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/kenlsm/node-huckleberry-mcp/claude-md"><img src="https://agentmods.dev/badge/instructions/kenlsm/node-huckleberry-mcp/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 | $0.00553 | $0.00553 |
| Opus 5.5 | $0.00221 | $0.00221 |
| Sonnet 5.5 | $0.00111 | $0.00111 |
| Haiku 4.5 | $0.00055 | $0.00055 |
Grade A, and why
node-huckleberry-mcp 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 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 — 43 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CLAUDE.md
See AGENTS.md — the canonical contributor guide for this repo (architecture, conventions, how to pick up tasks, secrets/safety).
Quick orientation:
TASKS.md— the roadmap and source of truth for what to build, in what order, and which model tier to use per task.docs/architecture.md— the verified auth/data mechanism, live Firebase config, Firestore schema, and the T0.2 decision (use the Firebase JS SDK).
Toolchain: TypeScript + oxc (oxlint + oxfmt) + Vitest — not ESLint/Prettier/Jest.
Before committing run npm run build, npm run lint, npm run format, and
npm test (all must pass). See AGENTS.md → Toolchain for details.
Branch hygiene: one concern per branch, one branch per PR — start each task
from a fresh branch off main, and never bundle unverified work with verified
work. See AGENTS.md → Git → Branch hygiene.
Note — we deviate from the Python reference; verify features ourselves
The Python projects (Woyken/py-huckleberry-api, bckenstler/py-huckleberry-mcp)
are a reference for leads, not a spec to copy. They are themselves
reverse-engineered and can be wrong, incomplete, or stale, and we have
intentionally diverged (oxc/Vitest toolchain, lenient read models, a different
tool surface, no active-session timers).
For any new feature, verify the real Huckleberry/Firestore behavior ourselves before trusting it — don't port a write shape or field name on the Python project's word. The loop:
- Do the action in the official Huckleberry app.
- Inspect the resulting Firestore document(s) —
npm run inspect:schema. - Build the Zod model + op to the observed shape (not the Python one).
- Prove it with a gated live round-trip (
HUCKLEBERRY_ALLOW_WRITES=1).
Where the real backend disagrees with the Python port, follow the backend.
See docs/discovery-plan.md for how we map the full API/Firestore surface,
and TASKS.md → B5 for a known live-confirmed deviation (solids food
tracking: the Python log_solids stores foods/reactions and a different
custom-food doc shape than we currently write).
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 · 43 lines · 553 tokens per session scan A 4d25165ca505
node-huckleberry-mcp CLAUDE.md is an instructions file published in the GitHub repository KenLSM/node-huckleberry-mcp (1 stars, last pushed 2mo ago), licensed MIT. It adds 553 tokens to every session, about $0.0022 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.
node-huckleberry-mcp CLAUDE.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| node-huckleberry-mcp CLAUDE.mdKenLSM/node-huckleberry-mcp | Instructions file | 1 | 2mo ago | MIT | A | 553 | Claude Code |
| data-scientist copilot-instructions.mdrealnghon/data-scientist | Instructions file | 2 | 4mo ago | MIT | A | 373 | GitHub Copilot |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 9,719 | GitHub Copilot |
| next.js AGENTS.mdvercel/next.js | Instructions file | 143k | today | MIT | A | 7,461 | Codex, OpenCode |
| vscode oss-third-party-notices.instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 5,649 | GitHub Copilot |
| langchain AGENTS.mdlangchain-ai/langchain | Instructions file | 149k | today | MIT | A | 4,680 | Codex, OpenCode |
| vscode copilot-instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 3,093 | GitHub Copilot |