gdelt-doc-search

gdelt-doc-search is a skill for Claude Code, Codex from tiangong-ai/skills. It costs 89 tokens per session (1,176 once invoked), scanned A, original, MIT.

A search tool for the GDELT DOC 2.0 API, which searches news articles and can summarize article activity over time.

In plain words
What is it for?
Use it to find articles by topic or website, list matching stories, or create timelines of news coverage.
Why use it?
It provides explicit search terms, date windows, output formats, and request logs, avoiding ad-hoc searches that are difficult to repeat or compare.

Skill for Claude CodeCodex

Written for Claude Code and Codex: shipped in a Claude Code plugin, but also agents/openai.yaml present.

Part of the public-opinion-and-media-intelligence plugin — 10 skills shipped together

Good fit Use it to find articles by topic or website, list matching stories, or create timelines of news coverage.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/tiangong-ai/skills/gdelt-doc-search
Install

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.

Any agent
npx skills add tiangong-ai/skills --skill gdelt-doc-search
Clone the repo
git clone --depth 1 https://github.com/tiangong-ai/skills

Made for: Claude Code, Codex.

Or install public-opinion-and-media-intelligence, the plugin that ships this one along with the rest of its 10 skills.

Wrote 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.

agentmods badge for gdelt-doc-search

README.md
[![agentmods](https://agentmods.dev/badge/skills/tiangong-ai/skills/gdelt-doc-search/github.svg)](https://agentmods.dev/skills/tiangong-ai/skills/gdelt-doc-search)
Your own site
<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.

agentmods 80×15 button for gdelt-doc-search

Your own site · 80×15
<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>
Per session 89 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,176 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce 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

Measured 3d ago against content hash aaa20ca944cc, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

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.

gdelt-doc-search/SKILL.md · 111 lines

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.

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

  1. Read references/tiangong-data-requirement.json.
  2. Use the caller- or workspace-resolved stable CLI. The requirement declares compatible capability and operation contract majors; it does not select a package build.
  3. Run data describe with 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.
  4. Immediately inspect manifest.availability and discovery.availability. If either does not report available, stop before constructing a request and report its exact reasonCode, 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"
  }
}

Read the full file on GitHub · 111 lines

Files

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.

Changes

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.

  1. 3d ago Changed · +11 lines aaa20ca944cc
  2. 10d ago Changed · -43 lines · +35 tokens per session b1eb5b29b4d7
  3. 12d ago First seen · 143 lines · 54 tokens per session scan A be4dfb6b5923

Subscribe to this mod's changes

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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