SerhiiKorniienko

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coverage-check

Count how many independent origins are behind news coverage of a claim, instead of counting URLs. Queries GDELT for matching articles, collapses reprints and wire copy into single origins, and flags publication bursts that indicate syndication. Use when a claim appears to be conf

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Prix non confirmé★ 140 Stars GitHubRegistre mis à jour · 6 sept. 2026agent-skill

Vue d’ensemble

Count how many independent origins are behind news coverage of a claim, instead of counting URLs. Queries GDELT for matching articles, collapses reprints and wire copy into single origins, and flags publication bursts that indicate syndication. Use when a claim appears to be confirmed by many outlets and you need to know whether that's many sources or one source many times.

Lire la documentation complète

Documentation source, pas des instructions pour ce site. Vérifiez les permissions avant d’exécuter des commandes.

coverage-check

Ten URLs are not ten sources. This turns "lots of outlets reported it" into a number you can defend.

When to reach for it

During claim verification, when a claim looks corroborated by volume — a pile of search results all saying the same thing. That pattern has two very different causes:

  • Many newsrooms independently established the fact → genuinely strong evidence
  • One press release, wire story, or study got reprinted 40 times → one source

Search results look identical in both cases. This tells them apart.

Usage

uv run scripts/coverage.py "<query>" [--timespan 3m] [--max 250] [--sort dateasc] [--timeout 120] [--json]

It is slow. This is normal. GDELT takes ~15s for a trivial one-day query and considerably longer for a 3-month window at 250 records. The script prints progress to stderr and how long the call took, so you can tell "working" from "hung" — if you see the querying line, wait. Narrowing --timespan is the speed lever; raise --timeout before assuming it's broken.

The query accepts GDELT operators: "exact phrase", (a OR b), -exclude, domain:example.com, sourcelang:english. Quote the distinctive phrasing of the claim — a verbatim phrase is what catches reprints.

# Is this "40 outlets confirmed it" or one wire story?
uv run scripts/coverage.py '"quantum breakthrough" AND university'

# Narrow to the week the claim surfaced
uv run scripts/coverage.py '"record quarterly revenue" domain:reuters.com' --timespan 7d

Reading the output

The first line is the verdict the detector needs. The rest supports it.

  • Distinct story clusters — articles grouped by headline similarity. This is the origin estimate. Outlets ≫ clusters means syndication.
  • ⚠️ syndicated on a cluster — multiple outlets published the same story inside 24h. Treat the whole cluster as one source.
  • wire-attributed headline on a cluster — a headline names a wire service or press-release distributor (Reuters, AP, PR Newswire…). The strongest mechanical one-origin signal available at headline level; bodies would catch more, but GDELT returns none.
  • Duplicate URLs collapsed — the same page counted twice behind tracking params, www., or a trailing slash. Collapsed before anything else is counted, so every number below it is already deduplicated.
  • Span (hours) — a tight burst points at a press release or embargo lift; coverage developed over weeks is more likely independent.

Feed the result into the report's evidence column as an origin count: "6 results, 1 origin (all reprints of the company's press release)" is worth more than six links.

Limits — read these before trusting a number

  • Rolling 3-month window only. GDELT DOC 2.0 does not reach further back. For an older claim this returns nothing, and nothing does not mean unreported. The script says so in its output; don't let the agent quietly read empty as disconfirming.

  • Clustering is headline similarity, on two measures: sequence ratio for reworded headlines and token overlap for the same facts in a different order. Grouping is transitive — three outlets on one wire story stay together even when the two extremes score below the bar individually. Verbatim reprints, rewritten wire copy and reordered headlines all collapse correctly.

    What it still won't catch: two newsrooms that independently reached the same finding and described it in genuinely different words. Those show as separate clusters, which is the safe direction to be wrong in — it under-reports syndication rather than inventing it.

    Thresholds were tuned against real GDELT output, not guessed. If you see false merges, raise TITLE_MATCH/TOKEN_MATCH in the script; if wire copy slips through as distinct, lower them.

  • Presence is not credibility. A claim covered by 200 outlets in 30 distinct clusters is widely reported, not true. Verdicts still need the source hierarchy in the detector's RUBRIC.md.

  • Results cap at 250 per query. When the cap is hit the output says so — every count becomes a lower bound, and the honest fix is a narrower --timespan, not a bigger number.

  • The free endpoint is unreliable, and this is the important one. GDELT returns "Please limit requests to one every 5 seconds" well below that rate whenever its public API is busy — independent of IP, User-Agent, and query size. Measured behaviour: identical calls succeed and fail minutes apart. The script retries with growing backoff and then exits 3.

    Exit 3 means "unmeasured", not "no coverage". Never let a failed check weaken or strengthen a verdict, and never record it as though the search came back empty. If the tool can't measure, the report says the origin count is unknown and falls back to the eyeball tells in RUBRIC.md. Retry in a few minutes, or skip it.

    ExitMeaning
    0measurement succeeded (including a legitimate zero-result window)
    1bad input or unreachable host
    3GDELT throttled — no measurement, claim is unmeasured
  • No API key, no auth, free. Nothing to configure, nothing to rotate.

What it does not do

It counts and groups coverage. It does not fetch article text — that's fetch-content — and it does not judge anything. Analysis skills read its output; they never call it to decide a verdict on their own.

Métadonnées du fichier
name: coverage-check
description: Count how many independent origins are behind news coverage of a claim, instead of counting URLs. Queries GDELT for matching articles, collapses reprints and wire copy into single origins, and flags publication bursts that indicate syndication. Use when a claim appears to be confirmed by many outlets and you need to know whether that's many sources or one source many times.
Voir le texte original
---
name: coverage-check
description: Count how many independent origins are behind news coverage of a claim, instead of counting URLs. Queries GDELT for matching articles, collapses reprints and wire copy into single origins, and flags publication bursts that indicate syndication. Use when a claim appears to be confirmed by many outlets and you need to know whether that's many sources or one source many times.
---

# coverage-check

Ten URLs are not ten sources. This turns "lots of outlets reported it" into a number you can defend.

## When to reach for it

During claim verification, when a claim looks *corroborated by volume* — a pile of search results
all saying the same thing. That pattern has two very different causes:

- Many newsrooms independently established the fact → genuinely strong evidence
- One press release, wire story, or study got reprinted 40 times → **one** source

Search results look identical in both cases. This tells them apart.

## Usage

```bash
uv run scripts/coverage.py "<query>" [--timespan 3m] [--max 250] [--sort dateasc] [--timeout 120] [--json]
```

**It is slow. This is normal.** GDELT takes ~15s for a trivial one-day query and considerably longer
for a 3-month window at 250 records. The script prints progress to stderr and how long the call took,
so you can tell "working" from "hung" — if you see the querying line, wait. Narrowing `--timespan` is
the speed lever; raise `--timeout` before assuming it's broken.

The query accepts GDELT operators: `"exact phrase"`, `(a OR b)`, `-exclude`,
`domain:example.com`, `sourcelang:english`. Quote the distinctive phrasing of the claim — a
verbatim phrase is what catches reprints.

```bash
# Is this "40 outlets confirmed it" or one wire story?
uv run scripts/coverage.py '"quantum breakthrough" AND university'

# Narrow to the week the claim surfaced
uv run scripts/coverage.py '"record quarterly revenue" domain:reuters.com' --timespan 7d
```

## Reading the output

The first line is the verdict the detector needs. The rest supports it.

- **Distinct story clusters** — articles grouped by headline similarity. This is the origin
  estimate. Outlets ≫ clusters means syndication.
- **⚠️ syndicated** on a cluster — multiple outlets published the same story inside 24h. Treat the
  whole cluster as one source.
- **wire-attributed headline** on a cluster — a headline names a wire service or press-release
  distributor (Reuters, AP, PR Newswire…). The strongest mechanical one-origin signal available
  at headline level; bodies would catch more, but GDELT returns none.
- **Duplicate URLs collapsed** — the same page counted twice behind tracking params, `www.`, or a
  trailing slash. Collapsed before anything else is counted, so every number below it is already
  deduplicated.
- **Span (hours)** — a tight burst points at a press release or embargo lift; coverage developed
  over weeks is more likely independent.

Feed the result into the report's evidence column as an origin count: *"6 results, 1 origin (all
reprints of the company's press release)"* is worth more than six links.

## Limits — read these before trusting a number

- **Rolling 3-month window only.** GDELT DOC 2.0 does not reach further back. For an older claim
  this returns nothing, and **nothing does not mean unreported**. The script says so in its output;
  don't let the agent quietly read empty as disconfirming.
- **Clustering is headline similarity**, on two measures: sequence ratio for reworded headlines and
  token overlap for the same facts in a different order. Grouping is transitive — three outlets on
  one wire story stay together even when the two extremes score below the bar individually.
  Verbatim reprints, rewritten wire copy and reordered headlines all collapse correctly.

  What it still won't catch: two newsrooms that independently reached the same finding and described
  it in genuinely different words. Those show as separate clusters, which is the safe direction to be
  wrong in — it *under*-reports syndication rather than inventing it.

  Thresholds were tuned against real GDELT output, not guessed. If you see false merges, raise
  `TITLE_MATCH`/`TOKEN_MATCH` in the script; if wire copy slips through as distinct, lower them.
- **Presence is not credibility.** A claim covered by 200 outlets in 30 distinct clusters is
  *widely reported*, not *true*. Verdicts still need the source hierarchy in the detector's
  [RUBRIC.md](../../analysis/bullshit-detector/RUBRIC.md).
- **Results cap at 250 per query.** When the cap is hit the output says so — every count becomes a
  lower bound, and the honest fix is a narrower `--timespan`, not a bigger number.
- **The free endpoint is unreliable, and this is the important one.** GDELT returns *"Please limit
  requests to one every 5 seconds"* well below that rate whenever its public API is busy —
  independent of IP, User-Agent, and query size. Measured behaviour: identical calls succeed and
  fail minutes apart. The script retries with growing backoff and then **exits 3**.

  **Exit 3 means "unmeasured", not "no coverage".** Never let a failed check weaken or strengthen a
  verdict, and never record it as though the search came back empty. If the tool can't measure, the
  report says the origin count is unknown and falls back to the eyeball tells in
  [RUBRIC.md](../../analysis/bullshit-detector/RUBRIC.md). Retry in a few minutes, or skip it.

  | Exit | Meaning |
  |---|---|
  | 0 | measurement succeeded (including a legitimate zero-result window) |
  | 1 | bad input or unreachable host |
  | 3 | GDELT throttled — no measurement, claim is unmeasured |
- **No API key, no auth, free.** Nothing to configure, nothing to rotate.

## What it does not do

It counts and groups coverage. It does not fetch article text — that's
[fetch-content](../fetch-content/SKILL.md) — and it does not judge anything. Analysis skills read
its output; they never call it to decide a verdict on their own.

Examiner la source

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Réviser avant installation: Éviter l’installation automatique

Licence: MIT

  • Dependency or permission surface needs review
  • Permission surface may require sandboxing
  • Quality score needs review
  • Permission surface needs review: secrets or environment access, shell or command execution
  • Stars/forks activity: 140 stars, 10 forks; issue activity unavailable in current metadata
  • Dependency/runtime risk: command execution surface, credential or environment access
  • Permission surface: secrets or environment access, shell or command execution
Ouvrir l’audit complet

Les outils sont des indications de métadonnées, pas une compatibilité testée. Les prompts sont des suggestions.

Commencer par une petite tâche

  1. 1Lisez la source et confirmez entrées, résultats, dépendances et permissions.
  2. 2Demandez un plan à l’agent. Approuvez la configuration et les coûts avant un test isolé.
  3. 3Vérifiez résultats et fichiers modifiés. Signalez uniquement ce qui a été exécuté et conservez la révision source.

Vérifiez les dépendances, clés API et frais externes dans la source. Un dépôt public ne rend pas tous les services gratuits.

Source et conseils d’utilisation

Répertorié

Métadonnées et examens sont indicatifs. Popularité, découverte et exécution réussie sont des faits distincts.

Dépôt source
SerhiiKorniienko/bullshit-detector
Licence
MIT
Version
1.0.0
Dernier push GitHub
3 sept. 2026
Registre mis à jour
6 sept. 2026

Version déclarée dans le registre ; vérifiez les versions de la source.

Qualité

65/100

Prometteur

Confiance

64/100

Sandbox uniquement

Audit

75/100

Revue nécessaire

  • Dependency or permission surface needs review
  • Permission surface may require sandboxing
  • Quality score needs review
  • Permission surface needs review: secrets or environment access, shell or command execution
  • Stars/forks activity: 140 stars, 10 forks; issue activity unavailable in current metadata
  • Dependency/runtime risk: command execution surface, credential or environment access
  • Permission surface: secrets or environment access, shell or command execution
Verified installs
—
Résultats
—

Copier ne signifie pas installer. Les compteurs nécessitent un rapport de réussite et ne garantissent pas la qualité globale.

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Plus de détails
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    "expected_agent_output": {
      "selected_skill": "serhiikorniienko-coverage-check (coverage-check)",
      "install_command": "npx skills add SerhiiKorniienko/bullshit-detector --skill coverage-check",
      "risk_summary": "Needs review; Blocked for auto-install; Review before production",
      "verification_result": "Report the smallest successful task, files touched, warnings, and any missing setup."
    }
  },
  "outcome_feedback": {
    "endpoint": "https://www.openagentskill.com/api/agent/outcome",
    "method": "POST",
    "requires_resolve_event_id": true,
    "event_id_source": "Use install_receipt.outcome_feedback.event_id or feedback.event_id returned by /api/agent/resolve for the current task.",
    "expected_outcomes": [
      "success",
      "failed",
      "not_relevant",
      "blocked_by_risk",
      "setup_required"
    ],
    "payload_template": {
      "event_id": "<install_receipt.outcome_feedback.event_id or feedback.event_id from /api/agent/resolve>",
      "skill_slug": "serhiikorniienko-coverage-check",
      "task": "Use coverage-check in an agent workflow",
      "agent": "codex",
      "outcome": "success",
      "install_used": true,
      "risk_blocked": false,
      "setup_required": false,
      "task_success": true,
      "output_quality": 4,
      "error_type": null,
      "human_review_required": false,
      "workspace": "sandbox",
      "time_to_useful_ms": 120000,
      "notes": "Report the smallest successful task, setup friction, files touched, and risk notes."
    }
  },
  "endpoints": {
    "web": "https://www.openagentskill.com/skills/serhiikorniienko-coverage-check",
    "api": "https://www.openagentskill.com/api/agent/skills/serhiikorniienko-coverage-check",
    "audit": "https://www.openagentskill.com/skills/serhiikorniienko-coverage-check/audit",
    "eval": "https://www.openagentskill.com/api/agent/evals?slug=serhiikorniienko-coverage-check&task=Use%20coverage-check%20in%20an%20agent%20workflow&max_risk=medium",
    "resolve": "https://www.openagentskill.com/api/agent/resolve?task=Use%20coverage-check%20in%20an%20agent%20workflow&agent=codex&max_risk=medium",
    "receipt": "https://www.openagentskill.com/api/agent/receipt?task=Use%20coverage-check%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text",
    "install": "https://www.openagentskill.com/api/skills/serhiikorniienko-coverage-check/install",
    "manifest": "https://www.openagentskill.com/api/registry/manifest/serhiikorniienko-coverage-check"
  }
}

Pour le créateur

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Indexé par Registry

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Cette fiche a été indexée à partir de sources publiques et n’est pas marquée officielle tant qu’une revendication de mainteneur n’est pas approuvée.

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Index communautaire OpenAgentSkill

L’attribution renvoie au dépôt public ou au profil du créateur. Les créateurs peuvent revendiquer la fiche pour mettre à jour les signaux de propriété.

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Cette fiche Indexé par Registry est attribuée à SerhiiKorniienko, mais n’est pas encore marquée officielle. Revendiquez-la pour ajouter un signal de propriétaire vérifié et rendre les futures mises à jour de lancement, d’installation et d’audit plus fiables.

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[![Agent Proven](https://www.openagentskill.com/api/badge/serhiikorniienko-coverage-check?metric=proven&label=Agent%20Proven)](https://www.openagentskill.com/skills/serhiikorniienko-coverage-check?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)

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