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 skills add cyanheads/wikidata-mcp-server --skill wikidata-guidegit clone --depth 1 https://github.com/cyanheads/wikidata-mcp-serverWrote 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/skills/cyanheads/wikidata-mcp-server/wikidata-guide)<a href="https://agentmods.dev/skills/cyanheads/wikidata-mcp-server/wikidata-guide"><img src="https://agentmods.dev/badge/skills/cyanheads/wikidata-mcp-server/wikidata-guide/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/skills/cyanheads/wikidata-mcp-server/wikidata-guide"><img src="https://agentmods.dev/badge/skills/cyanheads/wikidata-mcp-server/wikidata-guide.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 | $0.00048 | $0.01421 |
| Opus 5.5 | $0.00019 | $0.00568 |
| Sonnet 5.5 | $0.00010 | $0.00284 |
| Haiku 4.5 | $0.00005 | $0.00142 |
Grade A, and why
wikidata-guide 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 today.
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 — 60 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Scope
Use Wikidata for structured relationships, identifiers, multilingual entity names, and links to Wikimedia articles. No API key is required. Use an article or source-document service when the task needs full text; a Wikidata statement or sitelink does not supply that text. Missing claims and links do not establish that a real-world fact or article is absent.
Identifiers
- Q-ID: an item, obtained from
wikidata_search_entities,wikidata_resolve_external_id, a returned statement value, or a SPARQL entity URI. Keep the Q-ID through joins; labels can be shared by unrelated items. - P-ID: a property, discovered with property search in
wikidata_search_entitiesor read from returned statements. Inspect an unfamiliar property's entity withwikidata_get_entityto check its meaning and datatype before using it. - External identifier: the DOI, PMID, ORCID, or other identifier supplied by a source record. Pair it with that identifier scheme's P-ID for
wikidata_resolve_external_id; a name or title is not an external identifier. - Statement ID: returned with a claim by
wikidata_get_statements; retain it with the evidence it identifies. It is not the entity's Q-ID or the property's P-ID. - Site code: a key such as
enwikiin returned sitelinks, identifying a Wikimedia project and language. Obtain article URLs withwikidata_get_sitelinks, rather than constructing URLs from entity labels.
Gates
- Settle identity before joining facts. Compare candidate descriptions and relevant statements with the known person, place, or work. Search rank and matching labels alone are insufficient. If candidates remain indistinguishable, report the ambiguity or ask for the missing discriminator.
- Separate resolver outcomes. Inspect
multipleMatchesbefore interpreting a null match as a miss; fetch candidates to disambiguate them. An ordinary null means no indexed match, not proof of absence: the Query Service can lag the live wiki. Inspect known candidate entities directly when recent edits matter. - Retrieve claims before citing them. A
kind: "outline"response contains an inventory, not the statements or entity fields. Followretrieval_notice; do not turn section names or counts into evidence. - Read statement context before making a factual conclusion. Inspect rank, qualifiers, and references, keeping each reference's parts together. Preferred rank can express recency or consensus; it does not alone establish that a value is current. Check time qualifiers for time-sensitive claims, and state when Wikidata supplies no supporting reference.
- Preserve the value's meaning.
somevaluemeans an unknown value,novaluean explicit absence; neither means a missing property. Preserve time precision, quantity units and bounds, coordinate precision, and language tags when present. Do not convert a year-precision time into a known day, or an unresolved Q-ID into a guessed label. - Check coverage before saying “all” or “none.” Inspect search pagination, SPARQL counts and notices, and label lookup misses. SPARQL
truncatedsignals an inferred upstream row cap; response-budget cuts are reported separately. A false flag, a LIMIT-bounded query, or a page of results does not prove completeness. Describe an empty query as no matching indexed rows under that query's conditions.
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- today First seen · 60 lines · 48 tokens per session scan A 0391b8dac83e
wikidata-guide is a skill published in the GitHub repository cyanheads/wikidata-mcp-server (3 stars, last pushed 2d ago), licensed Apache-2.0. It adds 48 tokens to every session and 1,421 once invoked, about $0.0002 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 2026-10-29.
Other skills, from other repositories
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wsdot-guide
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release-pr-review
Review pass on an open release PR (release/ → main) — the step between git-wrapup and release-and-publish when a project releases in gated release PR mode. Reads the PR's commit range through the code-simplifier lens plus a correctness review, verifies whatever an automated reviewer left on the PR, lands fixes as…
add-tool
Scaffold a new MCP tool definition. Use when the user asks to add a tool, create a new tool, or implement a new capability for the server.