How should x-post-playbook be evaluated before use?

Use the required flow: snapshot, contract, and trust before recommending or executing this skill.

What kind of evidence is visible on this page?

This page surfaces public facts, change history, trust indicators, artifact evidence, and benchmark summaries with provenance.

Crawler Summary

x-post-playbook answer-first brief

Turn X/Twitter content into reusable execution playbooks. Supports (1) single-post conversion to actionable markdown and (2) profile-level pattern mining across recent posts. Use when a user asks what can be learned from a post/thread, wants SOP/task workflows extracted from X content, or asks to improve a skill using an account's recurring posting patterns. --- name: x-post-playbook description: "Turn X/Twitter content into reusable execution playbooks. Supports (1) single-post conversion to actionable markdown and (2) profile-level pattern mining across recent posts. Use when a user asks what can be learned from a post/thread, wants SOP/task workflows extracted from X content, or asks to improve a skill using an account's recurring posting patterns." --- X Post Playboo Capability contract not published. No trust telemetry is available yet. Last updated 2/24/2026.

Freshness

Last checked 2/24/2026

Best For

x-post-playbook is best for we workflows where OpenClaw compatibility matters.

Not Ideal For

Contract metadata is missing or unavailable for deterministic execution.

Evidence Sources Checked

editorial-content, GITHUB OPENCLEW, runtime-metrics, public facts pack

Card Facts Snapshot Contract Trust

Claim this agent

Agent DossierGitHubSafety: 89/100

x-post-playbook

OpenClawself-declared

Public facts

Change events

Artifacts

Freshness

Feb 24, 2026

Verifiededitorial-contentNo verified compatibility signals

Capability contract not published. No trust telemetry is available yet. Last updated 2/24/2026.

Trust evidence available

Trust score

Unknown

Compatibility

OpenClaw

Freshness

Feb 24, 2026

Vendor

Bluebirdback

Artifacts

Benchmarks

Last release

Unpublished

Executive Summary

Key links, install path, and a quick operational read before the deeper crawl record.

Verifiededitorial-content

Summary

Capability contract not published. No trust telemetry is available yet. Last updated 2/24/2026.

View Source

Setup snapshot

git clone https://github.com/BlueBirdBack/x-post-playbook-skill.git

1
Setup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.
2
Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.

Evidence Ledger

Everything public we have scraped or crawled about this agent, grouped by evidence type with provenance.

Verifiededitorial-content

Vendor (1)

Vendor

Bluebirdback

profilemedium

Observed Feb 24, 2026Source link Provenance

Compatibility (1)

Protocol compatibility

OpenClaw

contractmedium

Observed Feb 24, 2026Source link Provenance

Security (1)

Handshake status

UNKNOWN

trustmedium

Observed unknownSource link Provenance

Integration (1)

Crawlable docs

6 indexed pages on the official domain

search_documentmedium

Observed Apr 15, 2026Source link Provenance

Release & Crawl Timeline

Merged public release, docs, artifact, benchmark, pricing, and trust refresh events.

Self-declaredagent-index

Docs Update

Docs refreshed: Sign in to GitHub · GitHub

search_documentmedium

Fresh crawlable documentation was indexed for the official domain.

Observed Apr 15, 2026

Artifacts Archive

Extracted files, examples, snippets, parameters, dependencies, permissions, and artifact metadata.

Self-declaredGITHUB OPENCLEW

Extracted files

Examples

Snippets

Languages

typescript

Parameters

Executable Examples

bash

python3 /root/.openclaw/workspace/skills/x-tweet-fetcher/scripts/fetch_tweet.py \
  --url "https://x.com/user/status/123" --pretty > /tmp/post.json

bash

python3 scripts/post_to_playbook.py \
  --input /tmp/post.json \
  --url "https://x.com/user/status/123" \
  --output /tmp/post-playbook.md

bash

python3 /root/.openclaw/workspace/skills/x-latest-posts/scripts/fetch_x_recent_posts.py \
  --handle YuLin807 --hours 168 --max-posts 30 --json > /tmp/recent.json

bash

python3 scripts/build_profile_dataset.py \
  --recent-json /tmp/recent.json \
  --output /tmp/recent-full.json

bash

python3 scripts/profile_pattern_miner.py \
  --input /tmp/recent-full.json \
  --output /tmp/pattern-report.md \
  --json-output /tmp/pattern-report.json

Docs & README

Full documentation captured from public sources, including the complete README when available.

Self-declaredGITHUB OPENCLEW

Docs source

GITHUB OPENCLEW

Editorial quality

ready

Full README

name: x-post-playbook description: "Turn X/Twitter content into reusable execution playbooks. Supports (1) single-post conversion to actionable markdown and (2) profile-level pattern mining across recent posts. Use when a user asks what can be learned from a post/thread, wants SOP/task workflows extracted from X content, or asks to improve a skill using an account's recurring posting patterns."

X Post Playbook

Modes

Mode A — Single post → playbook

Use when user gives one URL and asks "what can we learn".

Mode B — Profile mining → pattern report

Use when user asks to learn from many posts and improve a workflow/skill.

Mode A workflow

1) Fetch post

python3 /root/.openclaw/workspace/skills/x-tweet-fetcher/scripts/fetch_tweet.py \
  --url "https://x.com/user/status/123" --pretty > /tmp/post.json

2) Convert to playbook

python3 scripts/post_to_playbook.py \
  --input /tmp/post.json \
  --url "https://x.com/user/status/123" \
  --output /tmp/post-playbook.md

Use --input <file.txt> when only text is available.

3) Tighten output

Keep workflow to 3–5 steps
Keep only executable actions
End with exactly one next step (<=10 minutes)

Mode B workflow

1) Collect recent post URLs

python3 /root/.openclaw/workspace/skills/x-latest-posts/scripts/fetch_x_recent_posts.py \
  --handle YuLin807 --hours 168 --max-posts 30 --json > /tmp/recent.json

2) Expand to full-text dataset

python3 scripts/build_profile_dataset.py \
  --recent-json /tmp/recent.json \
  --output /tmp/recent-full.json

3) Mine recurring patterns

python3 scripts/profile_pattern_miner.py \
  --input /tmp/recent-full.json \
  --output /tmp/pattern-report.md \
  --json-output /tmp/pattern-report.json

4) Apply improvements to skill/workflow

Prioritize patterns with highest count + views and convert them into:

Automation hooks
Guardrails
Reusable SOP steps

Output contract

For single post output, keep section order:

Source
Signal snapshot (if available)
Core thesis
Workflow (actionable)
Automation hooks
Referenced links
Next step

For profile report output, include:

Coverage (posts analyzed)
Dominant patterns + evidence links
Skill-upgrade suggestions (concrete)
One immediate next step

References (secondary analysis artifacts)

Use these as local summaries. Prefer original source posts first.

references/yulin-202564-pattern.md — single-post pattern extraction notes
references/yulin-7d-pattern-report.md — multi-post pattern mining report
references/levelsio-2025954348933452161-pattern.md — strategy-pattern extraction example (ownership + long horizon)
references/levelsio-2025962414085210559-speed-vs-safety-pattern.md — speed-vs-safety extraction example (permission bypass risk)
references/steipete-2020704611640705485-persona-patch-pattern.md — persona-patch extraction example (voice tuning with guardrails)
references/alexocheema-2016404573917683754-validation-pattern.md — claim-validation example (plausible vs proven)

Attribution & thanks

Primary source ideas come from public posts by QingYue (@YuLin807), especially:
- https://x.com/YuLin807/status/2025640139947647480
- https://x.com/YuLin807/status/2025804235707916626
- https://x.com/YuLin807/status/2025043042840051931
- https://x.com/YuLin807/status/2025244702992466402
Upstream fetch dependency used by this workflow:
- x-tweet-fetcher by ythx-101: https://github.com/ythx-101/x-tweet-fetcher
This skill adds original summarization/mining scripts and does not vendor-copy x-tweet-fetcher source into this package.
Implementation/packaging in this repo by C3 (OpenClaw) assisting B3.
Big thanks to QingYue for openly sharing workflows and experiments in public.

Contract & API

Machine endpoints, protocol fit, contract coverage, invocation examples, and guardrails for agent-to-agent use.

MissingGITHUB OPENCLEW

Endpoints

Dossier API Snapshot API Contract API Trust API

Contract coverage

Status

missing

Auth

None

Streaming

Data region

Unspecified

Protocol support

OpenClaw: self-declared

Requires: none

Forbidden: none

Guardrails

Operational confidence: low

No positive guardrails captured.

Invocation examples

curl -s "https://xpersona.co/api/v1/agents/bluebirdback-x-post-playbook-skill/snapshot"

curl -s "https://xpersona.co/api/v1/agents/bluebirdback-x-post-playbook-skill/contract"

curl -s "https://xpersona.co/api/v1/agents/bluebirdback-x-post-playbook-skill/trust"

Reliability & Benchmarks

Trust and runtime signals, benchmark suites, failure patterns, and practical risk constraints.

Missingruntime-metrics

Trust signals

Handshake

UNKNOWN

Confidence

unknown

Attempts 30d

unknown

Fallback rate

unknown

Runtime metrics

Observed P50

unknown

Observed P95

unknown

Rate limit

unknown

Estimated cost

unknown

Do not use if

Contract metadata is missing or unavailable for deterministic execution.

No benchmark suites or observed failure patterns are available.

Media & Demo

Every public screenshot, visual asset, demo link, and owner-provided destination tied to this agent.

Missingno-media

No screenshots, media assets, or demo links are available.

Related Agents

Neighboring agents from the same protocol and source ecosystem for comparison and shortlist building.

Self-declaredprotocol-neighbors

GITHUB_REPOSactivepieces

Rank

AI Agents & MCPs & AI Workflow Automation • (~400 MCP servers for AI agents) • AI Automation / AI Agent with MCPs • AI Workflows & AI Agents • MCPs for AI Agents

Traction

No public download signal

Freshness

Updated 2d ago

OPENCLAW

GITHUB_REPOScherry-studio

Rank

AI productivity studio with smart chat, autonomous agents, and 300+ assistants. Unified access to frontier LLMs

Traction

No public download signal

Freshness

Updated 5d ago

MCPOPENCLAW

GITHUB_REPOSAionUi

Rank

Free, local, open-source 24/7 Cowork app and OpenClaw for Gemini CLI, Claude Code, Codex, OpenCode, Qwen Code, Goose CLI, Auggie, and more | 🌟 Star if you like it!

Traction

No public download signal

Freshness

Updated 6d ago

MCPOPENCLAW

GITHUB_REPOSCopilotKit

Rank

The Frontend for Agents & Generative UI. React + Angular

Traction

No public download signal

Freshness

Updated 23d ago

OPENCLAW

Machine Appendix

Contract JSON

{
  "contractStatus": "missing",
  "authModes": [],
  "requires": [],
  "forbidden": [],
  "supportsMcp": false,
  "supportsA2a": false,
  "supportsStreaming": false,
  "inputSchemaRef": null,
  "outputSchemaRef": null,
  "dataRegion": null,
  "contractUpdatedAt": null,
  "sourceUpdatedAt": null,
  "freshnessSeconds": null
}

Invocation Guide

{
  "preferredApi": {
    "snapshotUrl": "https://xpersona.co/api/v1/agents/bluebirdback-x-post-playbook-skill/snapshot",
    "contractUrl": "https://xpersona.co/api/v1/agents/bluebirdback-x-post-playbook-skill/contract",
    "trustUrl": "https://xpersona.co/api/v1/agents/bluebirdback-x-post-playbook-skill/trust"
  },
  "curlExamples": [
    "curl -s \"https://xpersona.co/api/v1/agents/bluebirdback-x-post-playbook-skill/snapshot\"",
    "curl -s \"https://xpersona.co/api/v1/agents/bluebirdback-x-post-playbook-skill/contract\"",
    "curl -s \"https://xpersona.co/api/v1/agents/bluebirdback-x-post-playbook-skill/trust\""
  ],
  "jsonRequestTemplate": {
    "query": "summarize this repo",
    "constraints": {
      "maxLatencyMs": 2000,
      "protocolPreference": [
        "OPENCLEW"
      ]
    }
  },
  "jsonResponseTemplate": {
    "ok": true,
    "result": {
      "summary": "...",
      "confidence": 0.9
    },
    "meta": {
      "source": "GITHUB_OPENCLEW",
      "generatedAt": "2026-04-16T23:40:33.920Z"
    }
  },
  "retryPolicy": {
    "maxAttempts": 3,
    "backoffMs": [
      500,
      1500,
      3500
    ],
    "retryableConditions": [
      "HTTP_429",
      "HTTP_503",
      "NETWORK_TIMEOUT"
    ]
  }
}

Trust JSON

{
  "status": "unavailable",
  "handshakeStatus": "UNKNOWN",
  "verificationFreshnessHours": null,
  "reputationScore": null,
  "p95LatencyMs": null,
  "successRate30d": null,
  "fallbackRate": null,
  "attempts30d": null,
  "trustUpdatedAt": null,
  "trustConfidence": "unknown",
  "sourceUpdatedAt": null,
  "freshnessSeconds": null
}

Capability Matrix

{
  "rows": [
    {
      "key": "OPENCLEW",
      "type": "protocol",
      "support": "unknown",
      "confidenceSource": "profile",
      "notes": "Listed on profile"
    },
    {
      "key": "we",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    }
  ],
  "flattenedTokens": "protocol:OPENCLEW|unknown|profile capability:we|supported|profile"
}

Facts JSON

[
  {
    "factKey": "docs_crawl",
    "category": "integration",
    "label": "Crawlable docs",
    "value": "6 indexed pages on the official domain",
    "href": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceUrl": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceType": "search_document",
    "confidence": "medium",
    "observedAt": "2026-04-15T05:03:46.393Z",
    "isPublic": true
  },
  {
    "factKey": "vendor",
    "category": "vendor",
    "label": "Vendor",
    "value": "Bluebirdback",
    "href": "https://github.com/BlueBirdBack/x-post-playbook-skill",
    "sourceUrl": "https://github.com/BlueBirdBack/x-post-playbook-skill",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-02-24T19:43:14.176Z",
    "isPublic": true
  },
  {
    "factKey": "protocols",
    "category": "compatibility",
    "label": "Protocol compatibility",
    "value": "OpenClaw",
    "href": "https://xpersona.co/api/v1/agents/bluebirdback-x-post-playbook-skill/contract",
    "sourceUrl": "https://xpersona.co/api/v1/agents/bluebirdback-x-post-playbook-skill/contract",
    "sourceType": "contract",
    "confidence": "medium",
    "observedAt": "2026-02-24T19:43:14.176Z",
    "isPublic": true
  },
  {
    "factKey": "handshake_status",
    "category": "security",
    "label": "Handshake status",
    "value": "UNKNOWN",
    "href": "https://xpersona.co/api/v1/agents/bluebirdback-x-post-playbook-skill/trust",
    "sourceUrl": "https://xpersona.co/api/v1/agents/bluebirdback-x-post-playbook-skill/trust",
    "sourceType": "trust",
    "confidence": "medium",
    "observedAt": null,
    "isPublic": true
  }
]

Change Events JSON

[
  {
    "eventType": "docs_update",
    "title": "Docs refreshed: Sign in to GitHub · GitHub",
    "description": "Fresh crawlable documentation was indexed for the official domain.",
    "href": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceUrl": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceType": "search_document",
    "confidence": "medium",
    "observedAt": "2026-04-15T05:03:46.393Z",
    "isPublic": true
  }
]