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/data-dive-tools/datadive-mcp/claude-mdgit clone --depth 1 https://github.com/Data-Dive-Tools/datadive-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/data-dive-tools/datadive-mcp/claude-md)<a href="https://agentmods.dev/instructions/data-dive-tools/datadive-mcp/claude-md"><img src="https://agentmods.dev/badge/instructions/data-dive-tools/datadive-mcp/claude-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 | $0.00390 | $0.00390 |
| Opus 5 | $0.00195 | $0.00195 |
| Sonnet 5 | $0.00078 | $0.00078 |
| Haiku 4.5 | $0.00039 | $0.00039 |
Grade A, and why
datadive-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 4d 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
datadive-mcp
MCP server (@datadive-tools/mcp) that exposes DataDive niches, keywords,
competitors, and Rank Radar data over stdio. Published to npm. Node >= 22,
ESM only. See README.md for end-user setup and usage.
Commands
npm run build— bundle with tsup todist/npm test— unit tests (vitest)npm run test:smoke— live-API smoke test; skipped unlessDATADIVE_SMOKE_API_KEYis set (optionallyDATADIVE_API_BASE_URLto target a non-prod API)npm run lint/npm run typecheckprepublishOnlygates publish on lint + typecheck + test + build
Layout
src/index.ts— entry point / binsrc/server.ts— MCP server setupsrc/tools/— one file per MCP tool, registered insrc/tools/index.tssrc/http/client.ts,src/http/errors.ts— API client forapi.datadive.toolssrc/config.ts— env/config handlingsrc/types/api.ts— API response typestest/— mirrorssrc/structure
Conventions
- Adding a tool: new file in
src/tools/+ register insrc/tools/index.ts+ matching test intest/tools/ - Update
CHANGELOG.mdfor user-visible changes - CI:
.github/workflows/ci.yml; releases:.github/workflows/release.yml - When editing workflow files, validate locally with
actionlint(not enforced in CI) — yaml-lint misses Actions expression errors (e.g.secretscontext in step-levelif:)
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.
- 4d ago First seen · 31 lines · 390 tokens per session scan A e5a69363d6b0
datadive-mcp CLAUDE.md is an instructions file published in the GitHub repository Data-Dive-Tools/datadive-mcp (1 stars, last pushed 4d ago), licensed MIT. It adds 390 tokens to every session, about $0.0019 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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