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Skill: Twitter Check — measured AI agent skill | DecimalAI

automateyournetwork/skill-twitter-check

NewSkillScoreMaintained

**Purpose**: Quick invocation to check mentions and respond to #netclaw threads.

marketingby automateyournetwork

Links this skill to your agents and keeps it current with the author’s updates.

Automatic

Marketing & Content pack

1 · One-time — install the CLI (docs ↗)

pip install decimalai

2 · Get the skill — writes .claude/skills/automateyournetwork-skill-twitter-check/SKILL.md

decimalai skills pull automateyournetwork-skill-twitter-check --out .claude/skills/

No CLI? Get the same file — curl · raw file

curl -fsSL --create-dirs -o .claude/skills/automateyournetwork-skill-twitter-check/SKILL.md https://app.decimal.ai/s/automateyournetwork-skill-twitter-check/SKILL.md

Raw file: /s/automateyournetwork-skill-twitter-check/SKILL.md ↗ · machine-readable summary at /s/automateyournetwork-skill-twitter-check.json ↗

In productionGlobal

how this skill behaves on real traffic · last 30 days

No production data for this skill yet — usage numbers appear here once agents start running it.

Anonymized aggregate across every org using this skill — proof from real production use, not a demo.

Does this skill help? · Benchmark: with vs. withoutsign in to run this on your agents

22 test cases from the publisher’s eval.yaml · each run twice on gemini-3.6-flash — with the skill injected, then without · last run 3h ago

—-41% tokens0% turns86% of whole cases pass with skill (19/22)

Test case	Without → With	Effect	Δ tokens	Δ turns
case-04	✗→✓	▲ Improved	-41%	0%
case-07	✗→✓	▲ Improved	-50%	0%
case-09	✗→✓	▲ Improved	-68%	0%
case-10	✗→✓	▲ Improved	-34%	0%
case-11	✗→✓	▲ Improved	-24%	0%

Showing 5 of 22 cases

SkillSafety

✓ 3 of 3 passed

Code scan15 of 15 checks clean

0 critical · 0 warning · 0 info — scanner v4 — 8/3/2026

live_secretremote_code_executionreverse_shelldata_exfiltrationssrf_metadataagent_snoopinganti_refusaldestructive_commandsobfuscated_unicodeunicode_homoglyphopaque_blobsuspicious_urltool_overreachtrigger_abuseprompt_injection_phrasing

IntentSafe

LLM judge · does the skill do what it claims

ContentClean

LLM judge · policy & harmful-content review

Source

Imported

automateyournetwork / netclaw

workspace/skills/twitter-check/SKILL.md

View on GitHub ↗

License Apache-2.0Imported 8/3/2026Version v1

Skill contents

SKILL.md

Skill: Twitter Check

Purpose: Quick invocation to check mentions and respond to #netclaw threads.

Trigger: /twitter-check or "check twitter" or "#netclaw check"

MCP Server: twitter-mcp

Overview

This skill provides a quick way for John to invoke the Twitter mention check and auto-respond workflow directly from Claude Code.

Usage

/twitter-check           # Check and respond to mentions
/twitter-check dry       # Preview what would happen (no posting)
/twitter-check heartbeat # Also post a heartbeat tweet

Workflow

When invoked:

Fetch mentions: Get recent @mentions via OAuth 2.0
Filter: Find unprocessed mentions in #netclaw threads
Auto-respond: Reply based on mention category
Report: Show summary of actions taken

Tool Call

json
{
  "tool": "twitter_heartbeat_cycle",
  "arguments": {
    "post_heartbeat": false,
    "respond_to_netclaw_only": true,
    "dry_run": false
  }
}

Example Session

User: /twitter-check

Want to see if automateyournetwork/skill-twitter-check would activate on your phrasing? Try it before you install — no LLM call, no signup.

Other measured skills in the registry, with their headline benchmark lift.