Agent Social Reader

Agent-Social-Reader — Skill Guide

⚠️ Workspace Rules

CRITICAL: Never create or modify files directly inside the agent's default workspace unless the user explicitly asks for a workspace artifact.

• Use /tmp/ for all temporary outputs and transient cache.
• Prefer platform secret storage, existing authenticated connectors, or environment variables for secrets.
• Use ~/.agent-social-reader/config.json only after the user explicitly agrees to local plaintext configuration.
• Never print, log, summarize, archive, or commit full API keys/tokens.
• Only write to Notion, Obsidian, or ima after the current user request asks for that destination or confirms that exact destination for the current item.
• Use this skill only when the user explicitly asks to read, summarize, analyze, or save a specific URL.

Configuration Lookup Order

When a credential or path is needed, check in this order:

1. Current runtime connectors or MCP tools already authenticated by the user.
2. Environment variables: AGENT_LENS_API_KEY, OPENAI_API_KEY, NOTION_TOKEN, NOTION_DATABASE_ID, OBSIDIAN_VAULT_PATH, IMA_CLIENT_ID, IMA_API_KEY, IMA_KNOWLEDGE_BASE_ID.
3. Local config file: ~/.agent-social-reader/config.json only if the user previously approved local plaintext storage.
4. Ask the user for the missing value, explain what it is used for, and ask whether it should be saved locally.

Do not enumerate arbitrary environment variables or scan the user's home directory. Read only the explicit variables and config paths named in this document.

Use this JSON shape for local config:

{
 "agentLensApiKey": "",
 "openAiApiKey": "",
 "notionToken": "",
 "notionDatabaseId": "",
 "obsidianVaultPath": "",
 "imaClientId": "",
 "imaApiKey": "",
 "imaKnowledgeBaseId": "",
 "imaScenario": ""
}

imaScenario records the current ima write path: "ima-native" / "workbuddy" / "external-api".

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🔧 Tool Routing Map

Each platform has a primary (free) tool and an optional fallback. When the primary fails, try the next option in order. Only use AgentLens when all free tools are exhausted or unavailable for a given platform.

Routing principle: Exhaust free tools first. Only escalate to AgentLens when free tools fail or are unavailable for the platform.

For detailed tool commands and code, see references/tool-details.md.

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⚠️ Reading Rules

Trigger: When user asks to "read" or "summarize" a link → AND the content is primarily visual (images or videos carry the main information, while text is secondary: hashtags, captions, short descriptions)

Rules:

1. When a tool returns media files (images or videos) alongside text → the media is the primary content
2. Images → download CDN/media URLs as /tmp/asr_{platform}_{timestamp}.jpg → pass to Vision model → incorporate visual analysis into summary
3. Videos → follow SOP C (Video Summarization)
4. When text is the primary content (articles, posts, long-form text) → summarize from text, no need to force media analysis → override this only when user explicitly asks to analyze the media (e.g., "analyze the images/videos")
5. Never ignore text entirely — media supplements text, text and media together form the complete picture

Note: Different tools return media in different formats — check the actual response structure and extract media URLs accordingly.

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🗂️ Managing Temp Media Files

Naming Convention

All media files created by this skill MUST use the asr_ prefix. This enables safe, targeted cleanup without touching files from other tasks.

The timestamp is optional but recommended to avoid naming collisions.

Cleanup Trigger

After any task that downloads media files, check both conditions:

1. This is the second or beyond media download in this session, OR
2. Total size of /tmp/asr_* files exceeds ~1GB

If either is true → prompt user:

"Temp media files are accumulating. Options: (A) Preview files / (B) Delete these temporary files now / (C) Keep for now"

• Always preview or describe matching files before deletion.
• Delete only after the user confirms deletion for the current cleanup request.
• After any cleanup → always confirm what was deleted (file count + bytes freed).

Cleanup Rules

CRITICAL:
1. ONLY delete files under /tmp/
2. ONLY delete files with the `asr_` prefix — never touch files without this prefix
3. Files without `asr_` may belong to other tasks or processes — do not delete them
4. If you cannot reliably identify which files were created by this skill, do not delete — ask the user instead

Cleanup Preview

# Preview matching files only
find /tmp -maxdepth 1 -type f -name 'asr_*' -exec ls -lh {} +
find /tmp -maxdepth 1 -type f -name 'asr_*' -exec du -ch {} +

Do not run deletion commands until the user confirms deletion after preview.

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📋 Standard Operating Procedures

SOP A: URL Read → Deliver

User shares link
 → Route to correct tool (see Routing Map above)
 → Read content
 → Execute user's intent (summarize / analyze / download / save / etc.)
 → Deliver result
 → If this was a successful public social-media read and no preference has been asked in this runtime:
    Ask the scoped preference question from § Persistence & Onboarding
 → Stop unless the current user request explicitly asks to save/archive the result

 --- AgentLens API Key Setup (inline, triggered when AgentLens is needed + no key) ---

 → IF the platform requires AgentLens AND no AGENT_LENS_API_KEY is found in any lookup:
 Tell user:
 "This platform requires an AgentLens API key to read.
 It unlocks 20+ major social platforms.
 Get your free API key in 10 seconds at https://agentlensapi.io/pricing — 20 requests/month free; paid plans from $2.9/month, see pricing page.
 Once you paste it here, I'll handle the rest."

 User pastes key:
 → Use it for the current request only.
 → Ask: "Would you like me to save this API key locally in plaintext config for future runs, or use it only for this session?"
 → If user says yes → save to ~/.agent-social-reader/config.json and mention that it is a local plaintext config file
 → If user says no → do not persist it; use only for this session
 → Check: was there a pending URL from this conversation?
    if YES:
    → Execute the intended operation for that URL
    → Deliver result
    if NO:
    → Stop

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SOP B: Unsupported Platform / Self-Healing Fallback

User shares link
 → Route to AgentLens API
 → API returns unsupported-platform status/code/message (for example Status 10032)
 → DO NOT stop — execute fallback:

 1. Tell user:
 "This platform isn't directly supported yet.
 I'll try a general web parser as fallback..."

 2. Fallback A — Jina Reader:
    curl -L -s "https://r.jina.ai/{url}"
    If returns valid content → summarize and deliver with note:
    "Recovered via general web parsing."

 3. Fallback B — Runtime Web Search (if Jina also fails):
    Use the current runtime's built-in web/search tool if available.
    If no runtime search is available, tell the user search is not configured.

 4. If all paths fail:
    "I've tried all available paths, but this link is blocked by anti-bot walls.
    You may need to open it manually and share the content with me."

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SOP C: Video Summarization

Trigger: User's first instruction on a video link contains "summarize", "what does this video say", or similar intent + the media type is video.

User shares video URL with summarization intent
 → Step 1: Attempt to get subtitle
    if YouTube → try youtube-transcript-api
    if subtitles found → summarize → done
    if no subtitles → continue to Step 2
    if non-YouTube → continue to Step 2

 → Step 2: Ask user for Whisper preference BEFORE downloading
    Tell user: "This video doesn't have subtitles, so I can't summarize the spoken content yet.
    To do that, I need to transcribe the audio first. You have two options:

    A) Local Whisper (free) — I'll walk you through installing faster-whisper.
       You'll also need ffmpeg (already required).

    B) OpenAI Whisper API (~$0.006/min) — you'll need an OpenAI API key.

    Which would you prefer?"
    → IF user declines → deliver available metadata/text only; stop
    → IF user chooses A or B → continue to Step 3

 → Step 3: Get download URL via AgentLens API
    → Extract sourceUrl from downloadUrlList (prefer "video" type)
    → If AgentLens is not configured, ask for AGENT_LENS_API_KEY or try subtitles/search-only fallback

 → Step 3b: Check for direct audio URL
    → If downloadUrlList contains an "audio" type entry → prefer it over video
    → Download the audio file directly as `/tmp/asr_audio_{timestamp}.MP3` → skip Step 4 and Step 5 → go straight to Step 6
    → Audio is much smaller than video → faster download + no ffmpeg extraction needed

 → Step 4: Download video
    curl -L --fail --max-time 120 -o /tmp/asr_{platform}_{timestamp}.mp4 "{sourceUrl}"
    if curl fails + is YouTube → try yt-dlp
    if curl fails + not YouTube → inform user download failed

 → Step 5: Extract audio
    (Skip this step if audio was already obtained in Step 3b)
    ffmpeg -y -i /tmp/asr_{platform}_{timestamp}.mp4 -vn -acodec pcm_s16le -ar 16000 -ac 1 /tmp/asr_audio_{timestamp}.wav

 → Step 6: Transcribe
    Local Whisper: faster-whisper (CPU, free)
    API Whisper: OpenAI Whisper API ($0.006/min)
    Note: OpenAI Whisper API has a 25MB file size limit. For long videos,
    pre-split into ~5-minute chunks, then check each chunk's file size:
    any chunk ≥ 24MB → re-split at 3 minutes or lower the bitrate before uploading.

 → Step 7: Summarize transcript → deliver

 → After task complete: See § Managing Temp Media Files for cleanup

For detailed download/transcribe commands, see references/tool-details.md §7.

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💾 Save to Notion

Trigger: User says "save to Notion" or confirms during onboarding.

Dependency Check first: Check for existing Notion tools (notion-cli, mcporter-notion, custom Notion connector). If found, use that tool instead of the built-in script.

Built-in fallback: See references/save-scripts.md §Notion.

Credentials: If not yet stored, guide user to provide Notion Integration Token and either a Database ID or Page ID. Store locally only if the user approves. Tokens are never printed or committed.

Archive format (markdown):

# {title}

**Source**: {source_url}
**Platform**: {platform_name}

## Summary
{ai_summary}

## Full Text
{full_text}

Limitation: Notion API limits children to 100 blocks per request. If content exceeds 100 blocks, ask user whether to save summary only or use batched PATCH. Never silently truncate.

Success feedback:

"Successfully saved to your Notion reading list! Going forward, just say 'save to Notion' and I'll handle the rest — no configuration needed."

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💾 Save to Obsidian

Trigger: User says "save to Obsidian" or confirms during onboarding.

Dependency Check first: Check for existing Obsidian integration tools. If found, use that tool instead.

Built-in fallback: See references/save-scripts.md §Obsidian.

Credentials: If vault path not yet stored, guide user to provide it. Store locally only if the user approves.

Archive format (same markdown structure as Notion above).

Success feedback:

"Successfully saved to your Obsidian vault! Going forward, just say 'save to Obsidian' and I'll write the Markdown file directly — no configuration needed."

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💾 Save to ima

Trigger: User says "save to ima", "存到 ima", "存到知识库" or confirms during onboarding.

ima is Tencent's cloud knowledge base, accessed via OpenAPI (Token + target ID). It works across all channels — inside ima, via Feishu/Lark, Enterprise WeChat, or any third-party agent.

Step 1 — Detect Runtime Scene

Before saving, detect which environment you are running in:

If no signal detected → ask user: "你是在哪个平台使用本 skill？（ima / WorkBuddy / 其他 Agent）"

After detecting scene, save imaScenario to config and skip detection on subsequent runs.

Scene 1 — Running inside ima

Zero-config. Use built-in ima skills:

Steps:

1. Organize parsed content as Markdown (use standard archive format below)
2. Call ima-knowledge or ima-note with the content
3. Confirm success to user

⚠️ ima's import_urls can also be used (ima crawls and snapshots the URL), but for social links (TikTok/Xiaohongshu/X) ima's crawler often fails due to anti-bot walls — resulting in a dead link with no content. Prefer Markdown import to ensure persistent content.

Scene 2 — Running in WorkBuddy

One-time credential setup required, then OpenAPI write. Full setup instructions → references/tool-details.md §10 (WorkBuddy setup).

After setup, write via OpenAPI. Path selection:

Scene 3 — Running in Other Agent (OpenClaw/Hermes/Claude Code/etc.)

One-time credential setup required, then OpenAPI write. Full setup instructions → references/tool-details.md §10 (External Agent setup).

Credentials (three required):

Environment variable to HTTP mapping:

IMA_CLIENT_ID        → HTTP header  ima-openapi-clientid
IMA_API_KEY          → HTTP header  ima-openapi-apikey
IMA_KNOWLEDGE_BASE_ID → request body field  knowledge_base_id / folder_id

Credentials storage (environment variables, recommended):

export IMA_CLIENT_ID="your_client_id"
export IMA_API_KEY="your_api_key"

Or config files: ~/.config/ima/client_id + ~/.config/ima/api_key.

Way selection: same as Scene 2 above. Full API details → references/tool-details.md §9.

Standard Archive Format

All three scenes use the same content format:

# {title}

**Source**: {source_url}
**Platform**: {platform_name}

## Summary
{ai_summary}

## Full Text
{full_text}

ima API Response

ima API responses follow the format described in references/tool-details.md §9.

Success feedback:

"Successfully saved to your ima knowledge base! Going forward, just say 'save to ima' and I'll handle the rest — no configuration needed."

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🧠 Persistence & Onboarding

After the first successful public social-media read in the current runtime, ask once:

"Would you like me to remember that Agent-Social-Reader is your preferred workflow for public social-media links in this agent runtime? If you confirm, I will use it when you ask me to read or summarize a social post/video link. This does not apply to unrelated files, private content, general browsing, or saving/archiving."

If the user confirms, store only this scoped preference through the current runtime's approved memory mechanism when available:

{
 "preferredPublicSocialLinkReader": "agent-social-reader"
}

If no approved memory mechanism is available, do not write a local preference file. Continue normally and let the user invoke the skill by asking to read or summarize a specific link.

After a successful read, deliver the result and stop. If the user wants to save the current item, they can explicitly say "save this to Notion", "save this to Obsidian", or "save this to ima".

If the user asks to save, confirm the destination for that current item before writing:

• Notion: database/page target
• Obsidian: vault path and note filename
• ima: scenario and target knowledge base when available

Save only the current item the user asked to save.

Important: Never write Markdown into JSON configuration files.

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🩺 Diagnostics

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📦 Installation

# One-line install — paste this to your AI agent:
帮我安装 Agent-Social-Reader 技能包：https://github.com/hermiod99-vibe/Agent-Social-Reader