Creator · coreyhaines31
Last updated · Sep 5, 2026
When you or another skill needs to fetch the content of a social media post by URL — tweet, X thread, LinkedIn post, Instagram post, TikTok video, Bluesky post, Reddit thread, Mastodon status, Threads post, Hacker News thread. Returns normalized structured data (author, posted_at
Creator · coreyhaines31
Last updated · Sep 5, 2026
When you or another skill needs to fetch the content of a social media post by URL — tweet, X thread, LinkedIn post, Instagram post, TikTok video, Bluesky post, Reddit thread, Mastodon status, Threads post, Hacker News thread. Returns normalized structured data (author, posted_at
Creator · coreyhaines31
Last updated · Sep 5, 2026
When you or another skill needs to fetch the content of a social media post by URL — tweet, X thread, LinkedIn post, Instagram post, TikTok video, Bluesky post, Reddit thread, Mastodon status, Threads post, Hacker News thread. Returns normalized structured data (author, posted_at
Creator · coreyhaines31
Last updated · Sep 5, 2026
When you or another skill needs to fetch the content of a social media post by URL — tweet, X thread, LinkedIn post, Instagram post, TikTok video, Bluesky post, Reddit thread, Mastodon status, Threads post, Hacker News thread. Returns normalized structured data (author, posted_at
Sandbox only
Install targets
Codex install prompt
Install the "social-fetch" agent skill from https://github.com/coreyhaines31/makerskills/tree/main/skills/social-fetch. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: When you or another skill needs to fetch the content of a social media post by URL — tweet, X thread, LinkedIn post, Instagram post, TikTok video, Bluesky post, Reddit thread, Mastodon status, Threads post, Hacker News thread. Returns normalized structured data (author, posted_at, text, engagement counts, media URLs, replies if requested) regardless of platform. Tries strategies in order: direct API (Bluesky, Mastodon, HN, Reddit), agent-browser with modal dismissal (LinkedIn, X preview), Wayback Machine (older posts), paid APIs (ScrapeCreators / Apify — only if env keys present). Triggers on \"/social-fetch <url>,\" \"fetch this tweet,\" \"fetch this post,\" \"what does this LinkedIn say,\" \"read this thread,\" \"pull this post.\" Used by deep-research (citing specific posts), jab-hook (inspiration account analysis), business-brainstorm (competitor / operator commentary). After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"coreyhaines31-social-fetch","task":"Install social-fetch","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
Deep research, source comparison, literature review, RAG, knowledge search, and reports.
Scenario
Research agents
I need my agent to research a topic, compare sources, and produce a concise report.
Agent fit
Claude Code + Browser agents + CLI
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add coreyhaines31/makerskills --skill social-fetch
Maintenance
fresh
1d since push
Risk
Needs review
Permission surface may require sandboxing
GitHub quality
772
76/100 Quality · 72/100 Trust
Coverage tags
Review notes
Permission surface may require sandboxing · The skill relies on external APIs and scraping which may have rate limits or terms of service restrictions; consider documenting fallback behavior and rate limit handling.
Agent adoption scorecard
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
StrongSolid option that is likely worth shortlisting for production workflows.
Trust
Sandbox onlyUseful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
Audit
Needs reviewA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Run only in a sandbox and compare close alternatives before using it for real work.
Stars
772 GitHub stars
Repo activity
772 stars, 62 forks
Maintenance
1d since push
License
MIT
Install
npx skills add coreyhaines31/makerskills --skill social-fetch
Install safety
Agent-readable metadata
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
Suited agents
Install decision
Trust and risk
Outcome loop
Install command
npx skills add coreyhaines31/makerskills --skill social-fetchDo not use when
Alternative
1.9K Stars
npx skills add yanliudesign/mono-color-skill --skill mono-color
Alternative
61.0K Stars
npx skills add mvanhorn/last30days-skill -g
Alternative
38.4K Stars
npx skills add Imbad0202/academic-research-skills
Alternative
28.0K Stars
npx skills add assafelovic/gpt-researcher
Agent safety v2
Sparse or mixed signals. Useful for discovery, but not for autonomous installation.
Test manually in an isolated workspace and compare against safer alternatives.
medium
Skill may drive a browser or interact with web pages.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Skill may read or write project files, documents, generated artifacts, or local workspace state.
high
Skill metadata references credentials, tokens, environment variables, or secret-bearing workflows.
Agent resolve plan
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Open JSON
/api/agent/resolve?task=Use%20social-fetch%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20social-fetch%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/coreyhaines31-social-fetch/install
Agent should check
Copy prompt
Task: Use social-fetch in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20social-fetch%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/coreyhaines31-social-fetch/install
Install command: npx skills add coreyhaines31/makerskills --skill social-fetch
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/coreyhaines31-social-fetch/install
LLM text format
/api/skills/coreyhaines31-social-fetch/install?format=text
Find alternatives
/api/skills/search?q=social-fetch&limit=3
Agent prompt
Use social-fetch for this task. Review https://www.openagentskill.com/api/skills/coreyhaines31-social-fetch/install, then install with: npx skills add coreyhaines31/makerskills --skill social-fetchRegistry metadata
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
Manifest
/api/registry/manifest/coreyhaines31-social-fetch
LLM text
/api/registry/manifest/coreyhaines31-social-fetch?format=text
Install alias
/api/registry/install/coreyhaines31-social-fetch
Recommend
/api/registry/recommend?task=Use%20social-fetch%20in%20an%20agent%20workflow&limit=3
Agent fit
Research agents
Use-case tags
Platforms
Claude Code, Browser agents
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Role in stack
Primary pick
Primary fit
Research agents
Trust label
Production-ready
Install path
Command ready
Use when
Evidence
review first
Implementation path
Trust profile
Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
GitHub adoption
INFO772 GitHub stars
Stars/forks activity
INFO772 stars, 62 forks; issue activity unavailable in current metadata
Recent maintenance
PASS1d since push
License clarity
PASSMIT
Good signals
Review before install
Recommended action
Run only in a sandbox and compare close alternatives before using it for real work.
Quality profile
Solid option that is likely worth shortlisting for production workflows.
Workflow fit
Investigate faster
I need my agent to research a topic, compare sources, and produce a concise report.
Parse messy files
I need my agent to read PDFs, extract tables, and turn documents into structured data.
Process rich media
I need my agent to process images, video, or audio and extract useful information.
Workflow fit
Find, compare, and synthesize
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Scrape, clean, and reuse web data
A practical workflow for agents that crawl public pages, extract clean content, normalize data, and hand it to downstream research or RAG workflows.
Operate and verify web apps
A workflow for agents that navigate products, fill forms, take screenshots, and verify real user flows across web applications.
Alternative shortlist
Similar skills that may fit this task.
Generate original one-ink or controlled two-ink editorial images from any theme, sentence, article idea, object, or reference photo. Always use this skill when the user asks for 单色海报、双色印刷、单色调视觉、蓝色/绿色孔版印刷、risograph、网点照片、复古或当代编辑排版、zine poster, monochrome editorial poster, duotone print, or asks to use the mono-color style. It uses an adaptive white, gray, or pale-beige substrate, no more than two printing inks, active negative space, terse human language, and strong serif/grotesk/mono typography without making retro styling the default or copying a source composition, wording, logo, or artwork. Produce both the final generation prompt and the generated raster image unless the user explicitly asks for prompt only.
Research the last 30 days across Reddit, X, YouTube, Hacker News, Polymarket, GitHub, and the web, then synthesize a grounded brief for an AI agent.
Academic Research Skills for Claude Code: research → write → review → revise → finalize
Run autonomous deep research over web and local sources
--- name: social-fetch description: "When you or another skill needs to fetch the content of a social media post by URL — tweet, X thread, LinkedIn post, Instagram post, TikTok video, Bluesky post, Reddit thread, Mastodon status, Threads post, Hacker News thread. Returns normalized structured data (author, posted_at, text, engagement counts, media URLs, replies if requested) regardless of platform. Tries strategies in order: direct API (Bluesky, Mastodon, HN, Reddit), agent-browser with modal dismissal (LinkedIn, X preview), Wayback Machine (older posts), paid APIs (ScrapeCreators / Apify — only if env keys present). Triggers on \"/social-fetch <url>,\" \"fetch this tweet,\" \"fetch this post,\" \"what does this LinkedIn say,\" \"read this thread,\" \"pull this post.\" Used by deep-research (citing specific posts), jab-hook (inspiration account analysis), business-brainstorm (competitor / operator commentary)." metadata: version: 0.1.1 ---
# /social-fetch — Pull any social post by URL
Normalized fetcher for social posts across platforms. Detects platform from URL, tries strategies in order, returns the same JSON shape regardless of source.
## Step 1 — Detect platform
| URL pattern | Platform | |---|---| | `x.com/<user>/status/<id>` or `twitter.com/<user>/status/<id>` | **x** (Twitter) | | `linkedin.com/posts/<slug>` or `linkedin.com/feed/update/urn:li:activity:<id>` | **linkedin** | | `linkedin.com/in/<handle>` (profile, recent activity) | **linkedin-profile** | | `instagram.com/p/<id>` or `instagram.com/reel/<id>` | **instagram** | | `tiktok.com/@<user>/video/<id>` | **tiktok** | | `bsky.app/profile/<handle>/post/<rkey>` | **bluesky** | | `reddit.com/r/<sub>/comments/<id>/...` | **reddit** | | `<mastodon-instance>/@<user>/<id>` (e.g. mastodon.social, hachyderm.io) | **mastodon** | | `threads.net/@<user>/post/<id>` | **threads** | | `news.ycombinator.com/item?id=<id>` | **hn** | | `youtube.com/watch?v=<id>` or `youtu.be/<id>` | → defer to `watch-video` |
If the URL doesn't match any pattern, ask the user what platform it is.
## Step 2 — Pick strategy chain
Read `references/strategies.md` for the per-platform strategy chain. Each platform has 2–5 strategies tried in order.
Key principles: - **Free strategies first** (direct APIs, agent-browser) - **Paid only as fallback** (ScrapeCreators / Apify) — and only if the env key is set - **Bluesky / Mastodon / HN / Reddit are free + reliable** (public APIs) - **X / LinkedIn / Instagram / TikTok / Threads** need paid or scraping fallback for full data
## Step 3 — Execute strategy
For each strategy in the chain: 1. Try it 2. If success: parse → normalize → return 3. If failure (404, 402, auth wall, empty response): note the failure and try the next strategy
After exhausting the chain, return a clear error: which strategies were tried, why each failed, and what's needed to unlock (e.g., "Add `$SCRAPECREATORS_API_KEY` for X — see `references/auth-keys.md`").
## Step 4 — Normalize output
Return this shape regardless of platform (see `references/output-schema.md` for the full spec + platform-specific examples):
```json { "platform": "x", "url": "https://x.com/example/status/1234567890", "fetched_at": "2026-06-17T14:35:00Z", "raw_source": "scrapecreators", "author": { "handle": "@example", "name": "the user Ganim", "verified": true }, "posted_at": "2026-06-17T16:53:00Z", "text": "The 80/20 of a useful AI second brain: ...", "media": [], "engagement": { "likes": 51, "reposts": 13, "replies": 9, "bookmarks": 7, "views": 32700 }, "is_thread": true, "thread": [], "replies": [] } ```
Fields with no equivalent on a platform (e.g., `bookmarks` on Mastodon) get `null`, not `0`. Missing data is different from zero data.
## Step 5 — Optional enrichments
Based on flags / asks:
| Flag | Behavior | |---|---| | `--with-replies` | Fetch top-level replies (1 hop). Costs extra API quota. | | `--thread` | If the post is part of a thread by the same author, fetch the whole thread. | | `--raw` | Include the raw API/scrape response in the output (for debugging) | | `--media` | Download media files (images/videos) to `~/Documents/social-fetches/<platform>-<id>/` |
Default: just the post itself, no replies, no media download (just URLs).
## Step 6 — Cache (optional)
If `~/Documents/social-fetches/_cache/` exists, cache successful fetches there by `{platform}-{id}.json` for 24h. Saves API quota when the same post is referenced repeatedly across skills.
Skip cache if `--no-cache` flag is set or for `--with-replies` / `--thread` (likely-stale).
## Composes with
- `deep-research` — cite specific posts in research briefs. When research surfaces a relevant tweet/post URL, fetch and include in the brief. - `jab-hook` — pull recent posts from inspiration accounts for deeper format analysis (currently uses agent-browser inline; should call this skill instead). - `business-brainstorm` — pull competitor / operator commentary as evidence during scoring. - `second-brain` — capture a post into `raw/` with the `tweet-` / `bookmark-` prefix; the structured output makes for cleaner raw files than a screenshot or copy-paste. - `watch-video` — for YouTube URLs (or any video — Loom, Vimeo, Riverside, MP4), route there instead.
## Known limits
- **X**: free strategies return tweet preview only (text, author, basic engagement). Full thread + replies need `$SCRAPECREATORS_API_KEY` or `$APIFY_API_TOKEN`. - **LinkedIn**: agent-browser works for profile recent-activity (after dismissing the modal). Specific post URLs (`linkedin.com/posts/...`) often need paid fallback. - **Instagram / TikTok / Threads**: heavy anti-bot. Paid fallback strongly recommended. - **Bluesky / Mastodon / HN / Reddit**: free + reliable. - **Private / deleted posts**: nothing helps. Try Wayback Machine for deleted content.
If a platform consistently fails on free strategies and the user uses it often, prompt to set up the paid key (see `references/auth-keys.md`).
## Notes on quality
- **Strategy chain, not single-source.** Every platform has a fallback ladder (native oEmbed → agent-browser → SCS API → Apify). If one step fails, degrade gracefully to the next. Never fail hard on the first attempt. - **Structured output over screenshots.** Downstream skills (jab-hook, deep-research, second-brain) need JSON with author + text + engagement fields, not an image. Even when the underlying strategy is a screenshot, extract text before returning. - **Cache aggressively, invalidate honestly.** 24h TTL on `~/Documents/social-fetches/_cache/` prevents API burn when the same post is referenced across multiple skills in a session. `--with-replies` / `--thread` skip cache because replies age fast. - **Respect paid-key economics.** ScrapeCreators / Apify calls cost real money. Prompt before hitting paid strategies if the user hasn't confirmed they want depth. Free strategies first, always. - **Media download is opt-in.** Default is post text only; `--media` downloads images/videos. Silent media downloads eat disk quickly. - **Private / deleted content is a hard stop.** No strategy chain rescues private accounts or deleted posts. Suggest Wayback Machine for deleted content and stop. - **Rate-limits are per-platform.** X free strategies hit rate limits fast; LinkedIn agent-browser burns session fingerprints. Space out calls in loops or the workflow degrades to worse-than-manual.
Source provenance
Decision snapshot
772 GitHub stars
Audit
Install and adoption review
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
Install
Free and open source. Review the report before installing into production agents.
Growth loop
Scenario-led draft for social-fetch, ready for a manual X post.
A practical pick for design or creative work: social-fetch: When you or another skill needs to fetch the content of a social media post by URL — tweet, X thread, LinkedIn post, Instag... 772 stars https://www.openagentskill.com/skills/coreyhaines31-social-fetch?ref=x
Listing + install path for social-fetch: https://www.openagentskill.com/skills/coreyhaines31-social-fetch?ref=x Install: npx skills add coreyhaines31/makerskills --skill social-fetch
Listing source
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
Claim this skillOwner claim
This Registry indexed listing is attributed to coreyhaines31 but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.
Creator backlink kit
Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.
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[](https://www.openagentskill.com/skills/coreyhaines31-social-fetch?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)coreyhaines31
@coreyhaines31
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
Sandbox only
mono-color
Generate original one-ink or controlled two-ink editorial images from any theme, sentence, article idea, object, or reference photo. Always use this skill when the user asks for 单色海报、双色印刷、单色调视觉、蓝色/绿色孔版印刷、risograph、网点照片、复古或当代编辑排版、zine poster, monochrome editorial poster, duotone print, or asks to use the mono-color style. It uses an adaptive white, gray, or pale-beige substrate, no more than two printing inks, active negative space, terse human language, and strong serif/grotesk/mono typography without making retro styling the default or copying a source composition, wording, logo, or artwork. Produce both the final generation prompt and the generated raster image unless the user explicitly asks for prompt only.
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Install targets
Codex install prompt
Install the "social-fetch" agent skill from https://github.com/coreyhaines31/makerskills/tree/main/skills/social-fetch. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: When you or another skill needs to fetch the content of a social media post by URL — tweet, X thread, LinkedIn post, Instagram post, TikTok video, Bluesky post, Reddit thread, Mastodon status, Threads post, Hacker News thread. Returns normalized structured data (author, posted_at, text, engagement counts, media URLs, replies if requested) regardless of platform. Tries strategies in order: direct API (Bluesky, Mastodon, HN, Reddit), agent-browser with modal dismissal (LinkedIn, X preview), Wayback Machine (older posts), paid APIs (ScrapeCreators / Apify — only if env keys present). Triggers on \"/social-fetch <url>,\" \"fetch this tweet,\" \"fetch this post,\" \"what does this LinkedIn say,\" \"read this thread,\" \"pull this post.\" Used by deep-research (citing specific posts), jab-hook (inspiration account analysis), business-brainstorm (competitor / operator commentary). After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"coreyhaines31-social-fetch","task":"Install social-fetch","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
Deep research, source comparison, literature review, RAG, knowledge search, and reports.
Scenario
Research agents
I need my agent to research a topic, compare sources, and produce a concise report.
Agent fit
Claude Code + Browser agents + CLI
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add coreyhaines31/makerskills --skill social-fetch
Maintenance
fresh
1d since push
Risk
Needs review
Permission surface may require sandboxing
GitHub quality
772
76/100 Quality · 72/100 Trust
Coverage tags
Review notes
Permission surface may require sandboxing · The skill relies on external APIs and scraping which may have rate limits or terms of service restrictions; consider documenting fallback behavior and rate limit handling.
Agent adoption scorecard
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
StrongSolid option that is likely worth shortlisting for production workflows.
Trust
Sandbox onlyUseful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
Audit
Needs reviewA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Run only in a sandbox and compare close alternatives before using it for real work.
Stars
772 GitHub stars
Repo activity
772 stars, 62 forks
Maintenance
1d since push
License
MIT
Install
npx skills add coreyhaines31/makerskills --skill social-fetch
Install safety
Agent-readable metadata
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
Suited agents
Install decision
Trust and risk
Outcome loop
Install command
npx skills add coreyhaines31/makerskills --skill social-fetchDo not use when
Alternative
1.9K Stars
npx skills add yanliudesign/mono-color-skill --skill mono-color
Alternative
61.0K Stars
npx skills add mvanhorn/last30days-skill -g
Alternative
38.4K Stars
npx skills add Imbad0202/academic-research-skills
Alternative
28.0K Stars
npx skills add assafelovic/gpt-researcher
Agent safety v2
Sparse or mixed signals. Useful for discovery, but not for autonomous installation.
Test manually in an isolated workspace and compare against safer alternatives.
medium
Skill may drive a browser or interact with web pages.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Skill may read or write project files, documents, generated artifacts, or local workspace state.
high
Skill metadata references credentials, tokens, environment variables, or secret-bearing workflows.
Agent resolve plan
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Open JSON
/api/agent/resolve?task=Use%20social-fetch%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20social-fetch%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/coreyhaines31-social-fetch/install
Agent should check
Copy prompt
Task: Use social-fetch in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20social-fetch%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/coreyhaines31-social-fetch/install
Install command: npx skills add coreyhaines31/makerskills --skill social-fetch
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/coreyhaines31-social-fetch/install
LLM text format
/api/skills/coreyhaines31-social-fetch/install?format=text
Find alternatives
/api/skills/search?q=social-fetch&limit=3
Agent prompt
Use social-fetch for this task. Review https://www.openagentskill.com/api/skills/coreyhaines31-social-fetch/install, then install with: npx skills add coreyhaines31/makerskills --skill social-fetchRegistry metadata
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
Manifest
/api/registry/manifest/coreyhaines31-social-fetch
LLM text
/api/registry/manifest/coreyhaines31-social-fetch?format=text
Install alias
/api/registry/install/coreyhaines31-social-fetch
Recommend
/api/registry/recommend?task=Use%20social-fetch%20in%20an%20agent%20workflow&limit=3
Agent fit
Research agents
Use-case tags
Platforms
Claude Code, Browser agents
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Role in stack
Primary pick
Primary fit
Research agents
Trust label
Production-ready
Install path
Command ready
Use when
Evidence
review first
Implementation path
Trust profile
Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
GitHub adoption
INFO772 GitHub stars
Stars/forks activity
INFO772 stars, 62 forks; issue activity unavailable in current metadata
Recent maintenance
PASS1d since push
License clarity
PASSMIT
Good signals
Review before install
Recommended action
Run only in a sandbox and compare close alternatives before using it for real work.
Quality profile
Solid option that is likely worth shortlisting for production workflows.
Workflow fit
Investigate faster
I need my agent to research a topic, compare sources, and produce a concise report.
Parse messy files
I need my agent to read PDFs, extract tables, and turn documents into structured data.
Process rich media
I need my agent to process images, video, or audio and extract useful information.
Workflow fit
Find, compare, and synthesize
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Scrape, clean, and reuse web data
A practical workflow for agents that crawl public pages, extract clean content, normalize data, and hand it to downstream research or RAG workflows.
Operate and verify web apps
A workflow for agents that navigate products, fill forms, take screenshots, and verify real user flows across web applications.
Alternative shortlist
Similar skills that may fit this task.
Generate original one-ink or controlled two-ink editorial images from any theme, sentence, article idea, object, or reference photo. Always use this skill when the user asks for 单色海报、双色印刷、单色调视觉、蓝色/绿色孔版印刷、risograph、网点照片、复古或当代编辑排版、zine poster, monochrome editorial poster, duotone print, or asks to use the mono-color style. It uses an adaptive white, gray, or pale-beige substrate, no more than two printing inks, active negative space, terse human language, and strong serif/grotesk/mono typography without making retro styling the default or copying a source composition, wording, logo, or artwork. Produce both the final generation prompt and the generated raster image unless the user explicitly asks for prompt only.
Research the last 30 days across Reddit, X, YouTube, Hacker News, Polymarket, GitHub, and the web, then synthesize a grounded brief for an AI agent.
Academic Research Skills for Claude Code: research → write → review → revise → finalize
Run autonomous deep research over web and local sources
--- name: social-fetch description: "When you or another skill needs to fetch the content of a social media post by URL — tweet, X thread, LinkedIn post, Instagram post, TikTok video, Bluesky post, Reddit thread, Mastodon status, Threads post, Hacker News thread. Returns normalized structured data (author, posted_at, text, engagement counts, media URLs, replies if requested) regardless of platform. Tries strategies in order: direct API (Bluesky, Mastodon, HN, Reddit), agent-browser with modal dismissal (LinkedIn, X preview), Wayback Machine (older posts), paid APIs (ScrapeCreators / Apify — only if env keys present). Triggers on \"/social-fetch <url>,\" \"fetch this tweet,\" \"fetch this post,\" \"what does this LinkedIn say,\" \"read this thread,\" \"pull this post.\" Used by deep-research (citing specific posts), jab-hook (inspiration account analysis), business-brainstorm (competitor / operator commentary)." metadata: version: 0.1.1 ---
# /social-fetch — Pull any social post by URL
Normalized fetcher for social posts across platforms. Detects platform from URL, tries strategies in order, returns the same JSON shape regardless of source.
## Step 1 — Detect platform
| URL pattern | Platform | |---|---| | `x.com/<user>/status/<id>` or `twitter.com/<user>/status/<id>` | **x** (Twitter) | | `linkedin.com/posts/<slug>` or `linkedin.com/feed/update/urn:li:activity:<id>` | **linkedin** | | `linkedin.com/in/<handle>` (profile, recent activity) | **linkedin-profile** | | `instagram.com/p/<id>` or `instagram.com/reel/<id>` | **instagram** | | `tiktok.com/@<user>/video/<id>` | **tiktok** | | `bsky.app/profile/<handle>/post/<rkey>` | **bluesky** | | `reddit.com/r/<sub>/comments/<id>/...` | **reddit** | | `<mastodon-instance>/@<user>/<id>` (e.g. mastodon.social, hachyderm.io) | **mastodon** | | `threads.net/@<user>/post/<id>` | **threads** | | `news.ycombinator.com/item?id=<id>` | **hn** | | `youtube.com/watch?v=<id>` or `youtu.be/<id>` | → defer to `watch-video` |
If the URL doesn't match any pattern, ask the user what platform it is.
## Step 2 — Pick strategy chain
Read `references/strategies.md` for the per-platform strategy chain. Each platform has 2–5 strategies tried in order.
Key principles: - **Free strategies first** (direct APIs, agent-browser) - **Paid only as fallback** (ScrapeCreators / Apify) — and only if the env key is set - **Bluesky / Mastodon / HN / Reddit are free + reliable** (public APIs) - **X / LinkedIn / Instagram / TikTok / Threads** need paid or scraping fallback for full data
## Step 3 — Execute strategy
For each strategy in the chain: 1. Try it 2. If success: parse → normalize → return 3. If failure (404, 402, auth wall, empty response): note the failure and try the next strategy
After exhausting the chain, return a clear error: which strategies were tried, why each failed, and what's needed to unlock (e.g., "Add `$SCRAPECREATORS_API_KEY` for X — see `references/auth-keys.md`").
## Step 4 — Normalize output
Return this shape regardless of platform (see `references/output-schema.md` for the full spec + platform-specific examples):
```json { "platform": "x", "url": "https://x.com/example/status/1234567890", "fetched_at": "2026-06-17T14:35:00Z", "raw_source": "scrapecreators", "author": { "handle": "@example", "name": "the user Ganim", "verified": true }, "posted_at": "2026-06-17T16:53:00Z", "text": "The 80/20 of a useful AI second brain: ...", "media": [], "engagement": { "likes": 51, "reposts": 13, "replies": 9, "bookmarks": 7, "views": 32700 }, "is_thread": true, "thread": [], "replies": [] } ```
Fields with no equivalent on a platform (e.g., `bookmarks` on Mastodon) get `null`, not `0`. Missing data is different from zero data.
## Step 5 — Optional enrichments
Based on flags / asks:
| Flag | Behavior | |---|---| | `--with-replies` | Fetch top-level replies (1 hop). Costs extra API quota. | | `--thread` | If the post is part of a thread by the same author, fetch the whole thread. | | `--raw` | Include the raw API/scrape response in the output (for debugging) | | `--media` | Download media files (images/videos) to `~/Documents/social-fetches/<platform>-<id>/` |
Default: just the post itself, no replies, no media download (just URLs).
## Step 6 — Cache (optional)
If `~/Documents/social-fetches/_cache/` exists, cache successful fetches there by `{platform}-{id}.json` for 24h. Saves API quota when the same post is referenced repeatedly across skills.
Skip cache if `--no-cache` flag is set or for `--with-replies` / `--thread` (likely-stale).
## Composes with
- `deep-research` — cite specific posts in research briefs. When research surfaces a relevant tweet/post URL, fetch and include in the brief. - `jab-hook` — pull recent posts from inspiration accounts for deeper format analysis (currently uses agent-browser inline; should call this skill instead). - `business-brainstorm` — pull competitor / operator commentary as evidence during scoring. - `second-brain` — capture a post into `raw/` with the `tweet-` / `bookmark-` prefix; the structured output makes for cleaner raw files than a screenshot or copy-paste. - `watch-video` — for YouTube URLs (or any video — Loom, Vimeo, Riverside, MP4), route there instead.
## Known limits
- **X**: free strategies return tweet preview only (text, author, basic engagement). Full thread + replies need `$SCRAPECREATORS_API_KEY` or `$APIFY_API_TOKEN`. - **LinkedIn**: agent-browser works for profile recent-activity (after dismissing the modal). Specific post URLs (`linkedin.com/posts/...`) often need paid fallback. - **Instagram / TikTok / Threads**: heavy anti-bot. Paid fallback strongly recommended. - **Bluesky / Mastodon / HN / Reddit**: free + reliable. - **Private / deleted posts**: nothing helps. Try Wayback Machine for deleted content.
If a platform consistently fails on free strategies and the user uses it often, prompt to set up the paid key (see `references/auth-keys.md`).
## Notes on quality
- **Strategy chain, not single-source.** Every platform has a fallback ladder (native oEmbed → agent-browser → SCS API → Apify). If one step fails, degrade gracefully to the next. Never fail hard on the first attempt. - **Structured output over screenshots.** Downstream skills (jab-hook, deep-research, second-brain) need JSON with author + text + engagement fields, not an image. Even when the underlying strategy is a screenshot, extract text before returning. - **Cache aggressively, invalidate honestly.** 24h TTL on `~/Documents/social-fetches/_cache/` prevents API burn when the same post is referenced across multiple skills in a session. `--with-replies` / `--thread` skip cache because replies age fast. - **Respect paid-key economics.** ScrapeCreators / Apify calls cost real money. Prompt before hitting paid strategies if the user hasn't confirmed they want depth. Free strategies first, always. - **Media download is opt-in.** Default is post text only; `--media` downloads images/videos. Silent media downloads eat disk quickly. - **Private / deleted content is a hard stop.** No strategy chain rescues private accounts or deleted posts. Suggest Wayback Machine for deleted content and stop. - **Rate-limits are per-platform.** X free strategies hit rate limits fast; LinkedIn agent-browser burns session fingerprints. Space out calls in loops or the workflow degrades to worse-than-manual.
Source provenance
Decision snapshot
772 GitHub stars
Audit
Install and adoption review
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
Install
Free and open source. Review the report before installing into production agents.
Growth loop
Scenario-led draft for social-fetch, ready for a manual X post.
A practical pick for design or creative work: social-fetch: When you or another skill needs to fetch the content of a social media post by URL — tweet, X thread, LinkedIn post, Instag... 772 stars https://www.openagentskill.com/skills/coreyhaines31-social-fetch?ref=x
Listing + install path for social-fetch: https://www.openagentskill.com/skills/coreyhaines31-social-fetch?ref=x Install: npx skills add coreyhaines31/makerskills --skill social-fetch
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@coreyhaines31
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mono-color
Generate original one-ink or controlled two-ink editorial images from any theme, sentence, article idea, object, or reference photo. Always use this skill when the user asks for 单色海报、双色印刷、单色调视觉、蓝色/绿色孔版印刷、risograph、网点照片、复古或当代编辑排版、zine poster, monochrome editorial poster, duotone print, or asks to use the mono-color style. It uses an adaptive white, gray, or pale-beige substrate, no more than two printing inks, active negative space, terse human language, and strong serif/grotesk/mono typography without making retro styling the default or copying a source composition, wording, logo, or artwork. Produce both the final generation prompt and the generated raster image unless the user explicitly asks for prompt only.
1.9K StarsLast30days Skill
Research the last 30 days across Reddit, X, YouTube, Hacker News, Polymarket, GitHub, and the web, then synthesize a grounded brief for an AI agent.
61.0K StarsAcademic Research Skills
Academic Research Skills for Claude Code: research → write → review → revise → finalize
38.4K StarsGPT Researcher
Run autonomous deep research over web and local sources
28.0K StarsSandbox only
Install targets
Codex install prompt
Install the "social-fetch" agent skill from https://github.com/coreyhaines31/makerskills/tree/main/skills/social-fetch. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: When you or another skill needs to fetch the content of a social media post by URL — tweet, X thread, LinkedIn post, Instagram post, TikTok video, Bluesky post, Reddit thread, Mastodon status, Threads post, Hacker News thread. Returns normalized structured data (author, posted_at, text, engagement counts, media URLs, replies if requested) regardless of platform. Tries strategies in order: direct API (Bluesky, Mastodon, HN, Reddit), agent-browser with modal dismissal (LinkedIn, X preview), Wayback Machine (older posts), paid APIs (ScrapeCreators / Apify — only if env keys present). Triggers on \"/social-fetch <url>,\" \"fetch this tweet,\" \"fetch this post,\" \"what does this LinkedIn say,\" \"read this thread,\" \"pull this post.\" Used by deep-research (citing specific posts), jab-hook (inspiration account analysis), business-brainstorm (competitor / operator commentary). After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"coreyhaines31-social-fetch","task":"Install social-fetch","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
Deep research, source comparison, literature review, RAG, knowledge search, and reports.
Scenario
Research agents
I need my agent to research a topic, compare sources, and produce a concise report.
Agent fit
Claude Code + Browser agents + CLI
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add coreyhaines31/makerskills --skill social-fetch
Maintenance
fresh
1d since push
Risk
Needs review
Permission surface may require sandboxing
GitHub quality
772
76/100 Quality · 72/100 Trust
Coverage tags
Review notes
Permission surface may require sandboxing · The skill relies on external APIs and scraping which may have rate limits or terms of service restrictions; consider documenting fallback behavior and rate limit handling.
Agent adoption scorecard
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
StrongSolid option that is likely worth shortlisting for production workflows.
Trust
Sandbox onlyUseful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
Audit
Needs reviewA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Run only in a sandbox and compare close alternatives before using it for real work.
Stars
772 GitHub stars
Repo activity
772 stars, 62 forks
Maintenance
1d since push
License
MIT
Install
npx skills add coreyhaines31/makerskills --skill social-fetch
Install safety
Agent-readable metadata
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
Suited agents
Install decision
Trust and risk
Outcome loop
Install command
npx skills add coreyhaines31/makerskills --skill social-fetchDo not use when
Alternative
1.9K Stars
npx skills add yanliudesign/mono-color-skill --skill mono-color
Alternative
61.0K Stars
npx skills add mvanhorn/last30days-skill -g
Alternative
38.4K Stars
npx skills add Imbad0202/academic-research-skills
Alternative
28.0K Stars
npx skills add assafelovic/gpt-researcher
Agent safety v2
Sparse or mixed signals. Useful for discovery, but not for autonomous installation.
Test manually in an isolated workspace and compare against safer alternatives.
medium
Skill may drive a browser or interact with web pages.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Skill may read or write project files, documents, generated artifacts, or local workspace state.
high
Skill metadata references credentials, tokens, environment variables, or secret-bearing workflows.
Agent resolve plan
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Open JSON
/api/agent/resolve?task=Use%20social-fetch%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20social-fetch%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/coreyhaines31-social-fetch/install
Agent should check
Copy prompt
Task: Use social-fetch in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20social-fetch%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/coreyhaines31-social-fetch/install
Install command: npx skills add coreyhaines31/makerskills --skill social-fetch
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/coreyhaines31-social-fetch/install
LLM text format
/api/skills/coreyhaines31-social-fetch/install?format=text
Find alternatives
/api/skills/search?q=social-fetch&limit=3
Agent prompt
Use social-fetch for this task. Review https://www.openagentskill.com/api/skills/coreyhaines31-social-fetch/install, then install with: npx skills add coreyhaines31/makerskills --skill social-fetchRegistry metadata
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
Manifest
/api/registry/manifest/coreyhaines31-social-fetch
LLM text
/api/registry/manifest/coreyhaines31-social-fetch?format=text
Install alias
/api/registry/install/coreyhaines31-social-fetch
Recommend
/api/registry/recommend?task=Use%20social-fetch%20in%20an%20agent%20workflow&limit=3
Agent fit
Research agents
Use-case tags
Platforms
Claude Code, Browser agents
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Role in stack
Primary pick
Primary fit
Research agents
Trust label
Production-ready
Install path
Command ready
Use when
Evidence
review first
Implementation path
Trust profile
Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
GitHub adoption
INFO772 GitHub stars
Stars/forks activity
INFO772 stars, 62 forks; issue activity unavailable in current metadata
Recent maintenance
PASS1d since push
License clarity
PASSMIT
Good signals
Review before install
Recommended action
Run only in a sandbox and compare close alternatives before using it for real work.
Quality profile
Solid option that is likely worth shortlisting for production workflows.
Workflow fit
Investigate faster
I need my agent to research a topic, compare sources, and produce a concise report.
Parse messy files
I need my agent to read PDFs, extract tables, and turn documents into structured data.
Process rich media
I need my agent to process images, video, or audio and extract useful information.
Workflow fit
Find, compare, and synthesize
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Scrape, clean, and reuse web data
A practical workflow for agents that crawl public pages, extract clean content, normalize data, and hand it to downstream research or RAG workflows.
Operate and verify web apps
A workflow for agents that navigate products, fill forms, take screenshots, and verify real user flows across web applications.
Alternative shortlist
Similar skills that may fit this task.
Generate original one-ink or controlled two-ink editorial images from any theme, sentence, article idea, object, or reference photo. Always use this skill when the user asks for 单色海报、双色印刷、单色调视觉、蓝色/绿色孔版印刷、risograph、网点照片、复古或当代编辑排版、zine poster, monochrome editorial poster, duotone print, or asks to use the mono-color style. It uses an adaptive white, gray, or pale-beige substrate, no more than two printing inks, active negative space, terse human language, and strong serif/grotesk/mono typography without making retro styling the default or copying a source composition, wording, logo, or artwork. Produce both the final generation prompt and the generated raster image unless the user explicitly asks for prompt only.
Research the last 30 days across Reddit, X, YouTube, Hacker News, Polymarket, GitHub, and the web, then synthesize a grounded brief for an AI agent.
Academic Research Skills for Claude Code: research → write → review → revise → finalize
Run autonomous deep research over web and local sources
--- name: social-fetch description: "When you or another skill needs to fetch the content of a social media post by URL — tweet, X thread, LinkedIn post, Instagram post, TikTok video, Bluesky post, Reddit thread, Mastodon status, Threads post, Hacker News thread. Returns normalized structured data (author, posted_at, text, engagement counts, media URLs, replies if requested) regardless of platform. Tries strategies in order: direct API (Bluesky, Mastodon, HN, Reddit), agent-browser with modal dismissal (LinkedIn, X preview), Wayback Machine (older posts), paid APIs (ScrapeCreators / Apify — only if env keys present). Triggers on \"/social-fetch <url>,\" \"fetch this tweet,\" \"fetch this post,\" \"what does this LinkedIn say,\" \"read this thread,\" \"pull this post.\" Used by deep-research (citing specific posts), jab-hook (inspiration account analysis), business-brainstorm (competitor / operator commentary)." metadata: version: 0.1.1 ---
# /social-fetch — Pull any social post by URL
Normalized fetcher for social posts across platforms. Detects platform from URL, tries strategies in order, returns the same JSON shape regardless of source.
## Step 1 — Detect platform
| URL pattern | Platform | |---|---| | `x.com/<user>/status/<id>` or `twitter.com/<user>/status/<id>` | **x** (Twitter) | | `linkedin.com/posts/<slug>` or `linkedin.com/feed/update/urn:li:activity:<id>` | **linkedin** | | `linkedin.com/in/<handle>` (profile, recent activity) | **linkedin-profile** | | `instagram.com/p/<id>` or `instagram.com/reel/<id>` | **instagram** | | `tiktok.com/@<user>/video/<id>` | **tiktok** | | `bsky.app/profile/<handle>/post/<rkey>` | **bluesky** | | `reddit.com/r/<sub>/comments/<id>/...` | **reddit** | | `<mastodon-instance>/@<user>/<id>` (e.g. mastodon.social, hachyderm.io) | **mastodon** | | `threads.net/@<user>/post/<id>` | **threads** | | `news.ycombinator.com/item?id=<id>` | **hn** | | `youtube.com/watch?v=<id>` or `youtu.be/<id>` | → defer to `watch-video` |
If the URL doesn't match any pattern, ask the user what platform it is.
## Step 2 — Pick strategy chain
Read `references/strategies.md` for the per-platform strategy chain. Each platform has 2–5 strategies tried in order.
Key principles: - **Free strategies first** (direct APIs, agent-browser) - **Paid only as fallback** (ScrapeCreators / Apify) — and only if the env key is set - **Bluesky / Mastodon / HN / Reddit are free + reliable** (public APIs) - **X / LinkedIn / Instagram / TikTok / Threads** need paid or scraping fallback for full data
## Step 3 — Execute strategy
For each strategy in the chain: 1. Try it 2. If success: parse → normalize → return 3. If failure (404, 402, auth wall, empty response): note the failure and try the next strategy
After exhausting the chain, return a clear error: which strategies were tried, why each failed, and what's needed to unlock (e.g., "Add `$SCRAPECREATORS_API_KEY` for X — see `references/auth-keys.md`").
## Step 4 — Normalize output
Return this shape regardless of platform (see `references/output-schema.md` for the full spec + platform-specific examples):
```json { "platform": "x", "url": "https://x.com/example/status/1234567890", "fetched_at": "2026-06-17T14:35:00Z", "raw_source": "scrapecreators", "author": { "handle": "@example", "name": "the user Ganim", "verified": true }, "posted_at": "2026-06-17T16:53:00Z", "text": "The 80/20 of a useful AI second brain: ...", "media": [], "engagement": { "likes": 51, "reposts": 13, "replies": 9, "bookmarks": 7, "views": 32700 }, "is_thread": true, "thread": [], "replies": [] } ```
Fields with no equivalent on a platform (e.g., `bookmarks` on Mastodon) get `null`, not `0`. Missing data is different from zero data.
## Step 5 — Optional enrichments
Based on flags / asks:
| Flag | Behavior | |---|---| | `--with-replies` | Fetch top-level replies (1 hop). Costs extra API quota. | | `--thread` | If the post is part of a thread by the same author, fetch the whole thread. | | `--raw` | Include the raw API/scrape response in the output (for debugging) | | `--media` | Download media files (images/videos) to `~/Documents/social-fetches/<platform>-<id>/` |
Default: just the post itself, no replies, no media download (just URLs).
## Step 6 — Cache (optional)
If `~/Documents/social-fetches/_cache/` exists, cache successful fetches there by `{platform}-{id}.json` for 24h. Saves API quota when the same post is referenced repeatedly across skills.
Skip cache if `--no-cache` flag is set or for `--with-replies` / `--thread` (likely-stale).
## Composes with
- `deep-research` — cite specific posts in research briefs. When research surfaces a relevant tweet/post URL, fetch and include in the brief. - `jab-hook` — pull recent posts from inspiration accounts for deeper format analysis (currently uses agent-browser inline; should call this skill instead). - `business-brainstorm` — pull competitor / operator commentary as evidence during scoring. - `second-brain` — capture a post into `raw/` with the `tweet-` / `bookmark-` prefix; the structured output makes for cleaner raw files than a screenshot or copy-paste. - `watch-video` — for YouTube URLs (or any video — Loom, Vimeo, Riverside, MP4), route there instead.
## Known limits
- **X**: free strategies return tweet preview only (text, author, basic engagement). Full thread + replies need `$SCRAPECREATORS_API_KEY` or `$APIFY_API_TOKEN`. - **LinkedIn**: agent-browser works for profile recent-activity (after dismissing the modal). Specific post URLs (`linkedin.com/posts/...`) often need paid fallback. - **Instagram / TikTok / Threads**: heavy anti-bot. Paid fallback strongly recommended. - **Bluesky / Mastodon / HN / Reddit**: free + reliable. - **Private / deleted posts**: nothing helps. Try Wayback Machine for deleted content.
If a platform consistently fails on free strategies and the user uses it often, prompt to set up the paid key (see `references/auth-keys.md`).
## Notes on quality
- **Strategy chain, not single-source.** Every platform has a fallback ladder (native oEmbed → agent-browser → SCS API → Apify). If one step fails, degrade gracefully to the next. Never fail hard on the first attempt. - **Structured output over screenshots.** Downstream skills (jab-hook, deep-research, second-brain) need JSON with author + text + engagement fields, not an image. Even when the underlying strategy is a screenshot, extract text before returning. - **Cache aggressively, invalidate honestly.** 24h TTL on `~/Documents/social-fetches/_cache/` prevents API burn when the same post is referenced across multiple skills in a session. `--with-replies` / `--thread` skip cache because replies age fast. - **Respect paid-key economics.** ScrapeCreators / Apify calls cost real money. Prompt before hitting paid strategies if the user hasn't confirmed they want depth. Free strategies first, always. - **Media download is opt-in.** Default is post text only; `--media` downloads images/videos. Silent media downloads eat disk quickly. - **Private / deleted content is a hard stop.** No strategy chain rescues private accounts or deleted posts. Suggest Wayback Machine for deleted content and stop. - **Rate-limits are per-platform.** X free strategies hit rate limits fast; LinkedIn agent-browser burns session fingerprints. Space out calls in loops or the workflow degrades to worse-than-manual.
Source provenance
Decision snapshot
772 GitHub stars
Audit
Install and adoption review
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
Install
Free and open source. Review the report before installing into production agents.
Growth loop
Scenario-led draft for social-fetch, ready for a manual X post.
A practical pick for design or creative work: social-fetch: When you or another skill needs to fetch the content of a social media post by URL — tweet, X thread, LinkedIn post, Instag... 772 stars https://www.openagentskill.com/skills/coreyhaines31-social-fetch?ref=x
Listing + install path for social-fetch: https://www.openagentskill.com/skills/coreyhaines31-social-fetch?ref=x Install: npx skills add coreyhaines31/makerskills --skill social-fetch
Listing source
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Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
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[](https://www.openagentskill.com/skills/coreyhaines31-social-fetch?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/coreyhaines31-social-fetch/audit)
[](https://www.openagentskill.com/skills/coreyhaines31-social-fetch?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)coreyhaines31
@coreyhaines31
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
Sandbox only
mono-color
Generate original one-ink or controlled two-ink editorial images from any theme, sentence, article idea, object, or reference photo. Always use this skill when the user asks for 单色海报、双色印刷、单色调视觉、蓝色/绿色孔版印刷、risograph、网点照片、复古或当代编辑排版、zine poster, monochrome editorial poster, duotone print, or asks to use the mono-color style. It uses an adaptive white, gray, or pale-beige substrate, no more than two printing inks, active negative space, terse human language, and strong serif/grotesk/mono typography without making retro styling the default or copying a source composition, wording, logo, or artwork. Produce both the final generation prompt and the generated raster image unless the user explicitly asks for prompt only.
1.9K StarsLast30days Skill
Research the last 30 days across Reddit, X, YouTube, Hacker News, Polymarket, GitHub, and the web, then synthesize a grounded brief for an AI agent.
61.0K StarsAcademic Research Skills
Academic Research Skills for Claude Code: research → write → review → revise → finalize
38.4K StarsGPT Researcher
Run autonomous deep research over web and local sources
28.0K StarsSandbox only
Install targets
Codex install prompt
Install the "social-fetch" agent skill from https://github.com/coreyhaines31/makerskills/tree/main/skills/social-fetch. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: When you or another skill needs to fetch the content of a social media post by URL — tweet, X thread, LinkedIn post, Instagram post, TikTok video, Bluesky post, Reddit thread, Mastodon status, Threads post, Hacker News thread. Returns normalized structured data (author, posted_at, text, engagement counts, media URLs, replies if requested) regardless of platform. Tries strategies in order: direct API (Bluesky, Mastodon, HN, Reddit), agent-browser with modal dismissal (LinkedIn, X preview), Wayback Machine (older posts), paid APIs (ScrapeCreators / Apify — only if env keys present). Triggers on \"/social-fetch <url>,\" \"fetch this tweet,\" \"fetch this post,\" \"what does this LinkedIn say,\" \"read this thread,\" \"pull this post.\" Used by deep-research (citing specific posts), jab-hook (inspiration account analysis), business-brainstorm (competitor / operator commentary). After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"coreyhaines31-social-fetch","task":"Install social-fetch","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
Deep research, source comparison, literature review, RAG, knowledge search, and reports.
Scenario
Research agents
I need my agent to research a topic, compare sources, and produce a concise report.
Agent fit
Claude Code + Browser agents + CLI
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add coreyhaines31/makerskills --skill social-fetch
Maintenance
fresh
1d since push
Risk
Needs review
Permission surface may require sandboxing
GitHub quality
772
76/100 Quality · 72/100 Trust
Coverage tags
Review notes
Permission surface may require sandboxing · The skill relies on external APIs and scraping which may have rate limits or terms of service restrictions; consider documenting fallback behavior and rate limit handling.
Agent adoption scorecard
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
StrongSolid option that is likely worth shortlisting for production workflows.
Trust
Sandbox onlyUseful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
Audit
Needs reviewA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Run only in a sandbox and compare close alternatives before using it for real work.
Stars
772 GitHub stars
Repo activity
772 stars, 62 forks
Maintenance
1d since push
License
MIT
Install
npx skills add coreyhaines31/makerskills --skill social-fetch
Install safety
Agent-readable metadata
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
Suited agents
Install decision
Trust and risk
Outcome loop
Install command
npx skills add coreyhaines31/makerskills --skill social-fetchDo not use when
Alternative
1.9K Stars
npx skills add yanliudesign/mono-color-skill --skill mono-color
Alternative
61.0K Stars
npx skills add mvanhorn/last30days-skill -g
Alternative
38.4K Stars
npx skills add Imbad0202/academic-research-skills
Alternative
28.0K Stars
npx skills add assafelovic/gpt-researcher
Agent safety v2
Sparse or mixed signals. Useful for discovery, but not for autonomous installation.
Test manually in an isolated workspace and compare against safer alternatives.
medium
Skill may drive a browser or interact with web pages.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Skill may read or write project files, documents, generated artifacts, or local workspace state.
high
Skill metadata references credentials, tokens, environment variables, or secret-bearing workflows.
Agent resolve plan
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Open JSON
/api/agent/resolve?task=Use%20social-fetch%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20social-fetch%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/coreyhaines31-social-fetch/install
Agent should check
Copy prompt
Task: Use social-fetch in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20social-fetch%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/coreyhaines31-social-fetch/install
Install command: npx skills add coreyhaines31/makerskills --skill social-fetch
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/coreyhaines31-social-fetch/install
LLM text format
/api/skills/coreyhaines31-social-fetch/install?format=text
Find alternatives
/api/skills/search?q=social-fetch&limit=3
Agent prompt
Use social-fetch for this task. Review https://www.openagentskill.com/api/skills/coreyhaines31-social-fetch/install, then install with: npx skills add coreyhaines31/makerskills --skill social-fetchRegistry metadata
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
Manifest
/api/registry/manifest/coreyhaines31-social-fetch
LLM text
/api/registry/manifest/coreyhaines31-social-fetch?format=text
Install alias
/api/registry/install/coreyhaines31-social-fetch
Recommend
/api/registry/recommend?task=Use%20social-fetch%20in%20an%20agent%20workflow&limit=3
Agent fit
Research agents
Use-case tags
Platforms
Claude Code, Browser agents
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Role in stack
Primary pick
Primary fit
Research agents
Trust label
Production-ready
Install path
Command ready
Use when
Evidence
review first
Implementation path
Trust profile
Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
GitHub adoption
INFO772 GitHub stars
Stars/forks activity
INFO772 stars, 62 forks; issue activity unavailable in current metadata
Recent maintenance
PASS1d since push
License clarity
PASSMIT
Good signals
Review before install
Recommended action
Run only in a sandbox and compare close alternatives before using it for real work.
Quality profile
Solid option that is likely worth shortlisting for production workflows.
Workflow fit
Investigate faster
I need my agent to research a topic, compare sources, and produce a concise report.
Parse messy files
I need my agent to read PDFs, extract tables, and turn documents into structured data.
Process rich media
I need my agent to process images, video, or audio and extract useful information.
Workflow fit
Find, compare, and synthesize
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Scrape, clean, and reuse web data
A practical workflow for agents that crawl public pages, extract clean content, normalize data, and hand it to downstream research or RAG workflows.
Operate and verify web apps
A workflow for agents that navigate products, fill forms, take screenshots, and verify real user flows across web applications.
Alternative shortlist
Similar skills that may fit this task.
Generate original one-ink or controlled two-ink editorial images from any theme, sentence, article idea, object, or reference photo. Always use this skill when the user asks for 单色海报、双色印刷、单色调视觉、蓝色/绿色孔版印刷、risograph、网点照片、复古或当代编辑排版、zine poster, monochrome editorial poster, duotone print, or asks to use the mono-color style. It uses an adaptive white, gray, or pale-beige substrate, no more than two printing inks, active negative space, terse human language, and strong serif/grotesk/mono typography without making retro styling the default or copying a source composition, wording, logo, or artwork. Produce both the final generation prompt and the generated raster image unless the user explicitly asks for prompt only.
Research the last 30 days across Reddit, X, YouTube, Hacker News, Polymarket, GitHub, and the web, then synthesize a grounded brief for an AI agent.
Academic Research Skills for Claude Code: research → write → review → revise → finalize
Run autonomous deep research over web and local sources
--- name: social-fetch description: "When you or another skill needs to fetch the content of a social media post by URL — tweet, X thread, LinkedIn post, Instagram post, TikTok video, Bluesky post, Reddit thread, Mastodon status, Threads post, Hacker News thread. Returns normalized structured data (author, posted_at, text, engagement counts, media URLs, replies if requested) regardless of platform. Tries strategies in order: direct API (Bluesky, Mastodon, HN, Reddit), agent-browser with modal dismissal (LinkedIn, X preview), Wayback Machine (older posts), paid APIs (ScrapeCreators / Apify — only if env keys present). Triggers on \"/social-fetch <url>,\" \"fetch this tweet,\" \"fetch this post,\" \"what does this LinkedIn say,\" \"read this thread,\" \"pull this post.\" Used by deep-research (citing specific posts), jab-hook (inspiration account analysis), business-brainstorm (competitor / operator commentary)." metadata: version: 0.1.1 ---
# /social-fetch — Pull any social post by URL
Normalized fetcher for social posts across platforms. Detects platform from URL, tries strategies in order, returns the same JSON shape regardless of source.
## Step 1 — Detect platform
| URL pattern | Platform | |---|---| | `x.com/<user>/status/<id>` or `twitter.com/<user>/status/<id>` | **x** (Twitter) | | `linkedin.com/posts/<slug>` or `linkedin.com/feed/update/urn:li:activity:<id>` | **linkedin** | | `linkedin.com/in/<handle>` (profile, recent activity) | **linkedin-profile** | | `instagram.com/p/<id>` or `instagram.com/reel/<id>` | **instagram** | | `tiktok.com/@<user>/video/<id>` | **tiktok** | | `bsky.app/profile/<handle>/post/<rkey>` | **bluesky** | | `reddit.com/r/<sub>/comments/<id>/...` | **reddit** | | `<mastodon-instance>/@<user>/<id>` (e.g. mastodon.social, hachyderm.io) | **mastodon** | | `threads.net/@<user>/post/<id>` | **threads** | | `news.ycombinator.com/item?id=<id>` | **hn** | | `youtube.com/watch?v=<id>` or `youtu.be/<id>` | → defer to `watch-video` |
If the URL doesn't match any pattern, ask the user what platform it is.
## Step 2 — Pick strategy chain
Read `references/strategies.md` for the per-platform strategy chain. Each platform has 2–5 strategies tried in order.
Key principles: - **Free strategies first** (direct APIs, agent-browser) - **Paid only as fallback** (ScrapeCreators / Apify) — and only if the env key is set - **Bluesky / Mastodon / HN / Reddit are free + reliable** (public APIs) - **X / LinkedIn / Instagram / TikTok / Threads** need paid or scraping fallback for full data
## Step 3 — Execute strategy
For each strategy in the chain: 1. Try it 2. If success: parse → normalize → return 3. If failure (404, 402, auth wall, empty response): note the failure and try the next strategy
After exhausting the chain, return a clear error: which strategies were tried, why each failed, and what's needed to unlock (e.g., "Add `$SCRAPECREATORS_API_KEY` for X — see `references/auth-keys.md`").
## Step 4 — Normalize output
Return this shape regardless of platform (see `references/output-schema.md` for the full spec + platform-specific examples):
```json { "platform": "x", "url": "https://x.com/example/status/1234567890", "fetched_at": "2026-06-17T14:35:00Z", "raw_source": "scrapecreators", "author": { "handle": "@example", "name": "the user Ganim", "verified": true }, "posted_at": "2026-06-17T16:53:00Z", "text": "The 80/20 of a useful AI second brain: ...", "media": [], "engagement": { "likes": 51, "reposts": 13, "replies": 9, "bookmarks": 7, "views": 32700 }, "is_thread": true, "thread": [], "replies": [] } ```
Fields with no equivalent on a platform (e.g., `bookmarks` on Mastodon) get `null`, not `0`. Missing data is different from zero data.
## Step 5 — Optional enrichments
Based on flags / asks:
| Flag | Behavior | |---|---| | `--with-replies` | Fetch top-level replies (1 hop). Costs extra API quota. | | `--thread` | If the post is part of a thread by the same author, fetch the whole thread. | | `--raw` | Include the raw API/scrape response in the output (for debugging) | | `--media` | Download media files (images/videos) to `~/Documents/social-fetches/<platform>-<id>/` |
Default: just the post itself, no replies, no media download (just URLs).
## Step 6 — Cache (optional)
If `~/Documents/social-fetches/_cache/` exists, cache successful fetches there by `{platform}-{id}.json` for 24h. Saves API quota when the same post is referenced repeatedly across skills.
Skip cache if `--no-cache` flag is set or for `--with-replies` / `--thread` (likely-stale).
## Composes with
- `deep-research` — cite specific posts in research briefs. When research surfaces a relevant tweet/post URL, fetch and include in the brief. - `jab-hook` — pull recent posts from inspiration accounts for deeper format analysis (currently uses agent-browser inline; should call this skill instead). - `business-brainstorm` — pull competitor / operator commentary as evidence during scoring. - `second-brain` — capture a post into `raw/` with the `tweet-` / `bookmark-` prefix; the structured output makes for cleaner raw files than a screenshot or copy-paste. - `watch-video` — for YouTube URLs (or any video — Loom, Vimeo, Riverside, MP4), route there instead.
## Known limits
- **X**: free strategies return tweet preview only (text, author, basic engagement). Full thread + replies need `$SCRAPECREATORS_API_KEY` or `$APIFY_API_TOKEN`. - **LinkedIn**: agent-browser works for profile recent-activity (after dismissing the modal). Specific post URLs (`linkedin.com/posts/...`) often need paid fallback. - **Instagram / TikTok / Threads**: heavy anti-bot. Paid fallback strongly recommended. - **Bluesky / Mastodon / HN / Reddit**: free + reliable. - **Private / deleted posts**: nothing helps. Try Wayback Machine for deleted content.
If a platform consistently fails on free strategies and the user uses it often, prompt to set up the paid key (see `references/auth-keys.md`).
## Notes on quality
- **Strategy chain, not single-source.** Every platform has a fallback ladder (native oEmbed → agent-browser → SCS API → Apify). If one step fails, degrade gracefully to the next. Never fail hard on the first attempt. - **Structured output over screenshots.** Downstream skills (jab-hook, deep-research, second-brain) need JSON with author + text + engagement fields, not an image. Even when the underlying strategy is a screenshot, extract text before returning. - **Cache aggressively, invalidate honestly.** 24h TTL on `~/Documents/social-fetches/_cache/` prevents API burn when the same post is referenced across multiple skills in a session. `--with-replies` / `--thread` skip cache because replies age fast. - **Respect paid-key economics.** ScrapeCreators / Apify calls cost real money. Prompt before hitting paid strategies if the user hasn't confirmed they want depth. Free strategies first, always. - **Media download is opt-in.** Default is post text only; `--media` downloads images/videos. Silent media downloads eat disk quickly. - **Private / deleted content is a hard stop.** No strategy chain rescues private accounts or deleted posts. Suggest Wayback Machine for deleted content and stop. - **Rate-limits are per-platform.** X free strategies hit rate limits fast; LinkedIn agent-browser burns session fingerprints. Space out calls in loops or the workflow degrades to worse-than-manual.
Source provenance
Decision snapshot
772 GitHub stars
Audit
Install and adoption review
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
Install
Free and open source. Review the report before installing into production agents.
Growth loop
Scenario-led draft for social-fetch, ready for a manual X post.
A practical pick for design or creative work: social-fetch: When you or another skill needs to fetch the content of a social media post by URL — tweet, X thread, LinkedIn post, Instag... 772 stars https://www.openagentskill.com/skills/coreyhaines31-social-fetch?ref=x
Listing + install path for social-fetch: https://www.openagentskill.com/skills/coreyhaines31-social-fetch?ref=x Install: npx skills add coreyhaines31/makerskills --skill social-fetch
Listing source
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
Claim this skillOwner claim
This Registry indexed listing is attributed to coreyhaines31 but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.
Creator backlink kit
Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.
[](https://www.openagentskill.com/skills/coreyhaines31-social-fetch?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/coreyhaines31-social-fetch?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/coreyhaines31-social-fetch/audit)
[](https://www.openagentskill.com/skills/coreyhaines31-social-fetch?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)coreyhaines31
@coreyhaines31
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
Sandbox only
mono-color
Generate original one-ink or controlled two-ink editorial images from any theme, sentence, article idea, object, or reference photo. Always use this skill when the user asks for 单色海报、双色印刷、单色调视觉、蓝色/绿色孔版印刷、risograph、网点照片、复古或当代编辑排版、zine poster, monochrome editorial poster, duotone print, or asks to use the mono-color style. It uses an adaptive white, gray, or pale-beige substrate, no more than two printing inks, active negative space, terse human language, and strong serif/grotesk/mono typography without making retro styling the default or copying a source composition, wording, logo, or artwork. Produce both the final generation prompt and the generated raster image unless the user explicitly asks for prompt only.
1.9K StarsLast30days Skill
Research the last 30 days across Reddit, X, YouTube, Hacker News, Polymarket, GitHub, and the web, then synthesize a grounded brief for an AI agent.
61.0K StarsAcademic Research Skills
Academic Research Skills for Claude Code: research → write → review → revise → finalize
38.4K StarsGPT Researcher
Run autonomous deep research over web and local sources
28.0K StarsPermission surface
secrets or environment access, network or browser access
Agent outcomes
No agent outcome data yet
Docs
Strong README/SKILL.md context
Risk summary
Install readiness
Permission surface
secrets or environment access, network or browser access
Agent outcomes
No agent outcome data yet
Docs
Strong README/SKILL.md context
Risk summary
Install readiness
Permission surface
secrets or environment access, network or browser access
Agent outcomes
No agent outcome data yet
Docs
Strong README/SKILL.md context
Risk summary
Install readiness
Permission surface
secrets or environment access, network or browser access
Agent outcomes
No agent outcome data yet
Docs
Strong README/SKILL.md context
Risk summary
Install readiness