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 tiangong-ai/skills --skill gdelt-doc-searchgit clone --depth 1 https://github.com/tiangong-ai/skillsWrote 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/tiangong-ai/skills/gdelt-doc-search)<a href="https://agentmods.dev/skills/tiangong-ai/skills/gdelt-doc-search"><img src="https://agentmods.dev/badge/skills/tiangong-ai/skills/gdelt-doc-search/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/tiangong-ai/skills/gdelt-doc-search"><img src="https://agentmods.dev/badge/skills/tiangong-ai/skills/gdelt-doc-search.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00089 | $0.01176 |
| Opus 5 | $0.00044 | $0.00588 |
| Sonnet 5 | $0.00018 | $0.00235 |
| Haiku 4.5 | $0.00009 | $0.00118 |
Grade A, and why
gdelt-doc-search 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 3d 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 — 111 lines — stays where its author put it; the contents beside it link to each section on GitHub.
GDELT DOC Search
Use the CLI-owned gdelt.doc-search capability. This Skill supplies intent
routing and result-use boundaries only; the CLI owns source discovery,
input/output schemas, HTTP behavior, limits, validation, and receipts.
Before running
- Read
references/tiangong-data-requirement.json. - Use the caller- or workspace-resolved stable CLI. The requirement declares compatible capability and operation contract majors; it does not select a package build.
- Run
data describewith that same CLI. Continue only when the capability ID and required contract majors match, and copy the exact current capability/operation versions from that response into the run request. - Immediately inspect
manifest.availabilityanddiscovery.availability. If either does not reportavailable, stop before constructing a request and report its exactreasonCode, description, and resume criteria. Do not bypass suspension with a direct provider request. Route to GDELT Web NGrams only when the caller accepts its different literal phrase-search semantics.
tiangong-ai data describe gdelt.doc-search --json
Use the returned Discovery Metadata to confirm current source coverage,
freshness, restrictions, provides, and doesNotProvide. Do not substitute
facts remembered from an older Skill revision.
Prepare the request
Build a tiangong.data.run-request.v1 envelope. Replace the two version
placeholders with the exact versions from the same data describe response. This example requests an
article list for one bounded absolute UTC window:
{
"schemaVersion": "tiangong.data.run-request.v1",
"capabilityId": "gdelt.doc-search",
"capabilityVersion": "<describe.manifest.capabilityVersion>",
"operationId": "search",
"operationVersion": "<describe.manifest.operations[0].operationVersion>",
"input": {
"query": "(\"climate change\" OR pollution) sourcecountry:us",
"mode": "artlist",
"absoluteWindow": {
"from": "2026-03-01T00:00:00Z",
"to": "2026-03-07T23:59:59Z"
},
"maxRecords": 75,
"sort": "hybridrel"
}
}
What ships with it
2 files 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.
- 3d ago Changed · +11 lines aaa20ca944cc
- 10d ago Changed · -43 lines · +35 tokens per session b1eb5b29b4d7
- 12d ago First seen · 143 lines · 54 tokens per session scan A be4dfb6b5923
gdelt-doc-search is a skill published in the GitHub repository tiangong-ai/skills (9 stars, last pushed yesterday), licensed MIT. It adds 89 tokens to every session and 1,176 once invoked, about $0.0004 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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