Chalk Labs
Need help deploying x-twitter-source-evidence?
Chalk Labs sets up agents like this inside real teams: connected to your tools, tested on your data, with a human in the loop where it matters.
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/reactsphere-x-twitter-source-evidence
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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About
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What's inside
- Skill name
x-twitter-source-evidence- Description
- None
- License
- MIT
- Instructions
- 47 lines in SKILL.md · view on GitHub
Agent Skills spec issues
- missing YAML frontmatter
- name: missing
- description: missing
Files (1)
- SKILL.md
SKILL.md (first lines)
# X/Twitter Source Evidence Use this skill when a task needs grounded X/Twitter context before analysis, documentation, product research, support triage, or content planning. ## Workflow 1. Define the evidence question before calling tools: - Which account, tweet, reply thread, keyword, follower set, or media asset matters? - Which output will consume the evidence? - Is the task read-only, or does it ask to post, reply, message, upload, monitor, or run a giveaway? 2. Prefer read-only collection first: - Search tweets and tweet replies. - Inspect tweet URLs or tweet IDs. - Look up public user profiles. - Export follower or following context when the workflow needs audience evidence. - Collect media metadata or download links only when the task needs media review. 3. Use TweetClaw through OpenClaw or the Xquik MCP/API when available for structured X/Twitter source data. 4. Keep credentials in approved runtime configuration. Do not paste API keys, cookies, OAuth tokens, or account credentials into files or prompts. 5. Produce a source packet: - Query, URLs, IDs, account handles, and time window. - Retrieved tweets, replies, user profiles, follower summaries, media references, and direct-message context when explicitly requested. - Gaps, rate-limit notes, and assumptions. - Links back to original public sources where available. ## Boundaries - Do not post tweets, post tweet replies, send direct messages, upload media, follow, unfollow, like, retweet, schedule, or run giveaways from this skill. - If the user asks for a write-like action, switch to the approved TweetClaw/OpenClaw flow and request explicit user approval at the tool boundary. - Keep drafting, scoring, scheduling, analytics, and publishing decisions in the calling workflow. This skill supplies evidence only. - Avoid claims that a source packet is complete. State what was searched and what was not searched. ## Output Shape Return concise evidence that another agent or reviewer can audit: ```markdown ## X/Twitter Source Packet - Objective: - Sources searched: - Queries and accounts: - Evidence: - Gaps: - Recommended next step: ```
From ReactSphere/awesome-copilot-agents, MIT.
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Signals
- Stars
- 1
- Forks
- 2
- Open issues
- 1
- Last commit (this folder)
- Jun 11, 2026 (4 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Help with safe Git workflows (branching, rebasing, release tags) and troubleshooting.
SkillDFreshness: D★ 1Claude Code +9 - 0.413score
Issue Triage
ReactSphere
Turn messy bug reports into actionable tasks and reproduction steps.
SkillDFreshness: D★ 1Claude Code +9 - 0.413score
Markdown Editor
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Write consistent, well-structured Markdown with working links and clean formatting.
SkillDFreshness: D★ 1Claude Code +9 - 0.410score
Calculator
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Perform precise arithmetic and unit conversions.
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Done for you
Rather not set it up yourself?
Chalk Labs scopes, builds and runs agents for your team: the task audit, the eval harness, the integrations and the weekly ops report. Fixed scope, priced before we start.
See how we build AI agents →Read the case studies
Chalk Labs is a two-founder AI and growth studio. We build AI agents, CRMs and MVPs for Web3 and AI companies, and have shipped 50+ product and token launches.
- launches shipped
- 50+
- launches shipped
- media placements
- 500+
- media placements
- founders on every account
- 2
- founders on every account
Press we've placed: Forbes · CoinDesk · Decrypt · Cointelegraph · The Block
Rahil Jain, Co-founder, Chalk Labs. Ex-Goldman Sachs engineer. You talk to the person who builds it.
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Cite this page
x-twitter-source-evidence skill. Agent Mart. https://agentmart.dev/skills/reactsphere-x-twitter-source-evidence (last updated 2026-10-24)