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 skills/deephaven/deephaven-mcp/docs-accuracynpx skills add deephaven/deephaven-mcp --skill docs-accuracygit clone --depth 1 https://github.com/deephaven/deephaven-mcpWhat 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 | $0.00064 | $0.00484 |
| Opus 5 | $0.00032 | $0.00242 |
| Sonnet 5 | $0.00013 | $0.00097 |
| Haiku 4.5 | $0.00006 | $0.00048 |
Grade A, and why
docs-accuracy 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 2d 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
When to use this vs. docs-improve: use docs-accuracy for surgical correctness-only fixes against a single document. Use docs-improve for a full review that may also reorganize sections, fix link rot, or add missing content.
Before editing, load ref-documentation-roles and confirm that proposed fixes stay inside the document's role. When a fact is wrong in this doc but right in another, fix it here — do not delete it and link out unless the role of this doc says it should not have been here in the first place. Self-contained docs (currently SECURITY.md) must remain self-contained.
For the specified document, verify every factual claim against the source code. Check:
- Commands and flags: run the command or read
--helpoutput; confirm flags exist and do what the doc says - File paths: confirm each path exists in the repo
- Config keys and values: check against the actual config schema or parser in the source
- API names, function signatures, and module paths: grep or read the source
- Code examples: verify syntax is valid and matches the actual API; apply the
ref-markdown-documentation-standardsskill for JSON/JSON5 code block and placeholder formatting - Port numbers, URLs, environment variable names: confirm against source or config
- Output value vocabularies: when the doc documents the values of a tool / CLI output field (e.g., enumerating
--origin static|dynamic|discoveredor sample JSON values), applyref-output-serialization-conventionsand confirm the documented values match what the code emits - Spelling: apply
ref-markdown-documentation-standardsProse conventions; verify withuv run codespell <file>
For each inaccuracy found, report what the document says, what it should say, and fix it directly in the document.
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.
- 2d ago First seen · 22 lines · 64 tokens per session scan A b4ab4cd135a8
docs-accuracy is a skill published in the GitHub repository deephaven/deephaven-mcp (5 stars, last pushed 5d ago), licensed Apache-2.0. It adds 64 tokens to every session and 484 once invoked, about $0.0003 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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