social-cli-mcp CLAUDE.md

social-cli-mcp CLAUDE.md is an instructions file for coding agents from alessio-web-dev/social-cli-mcp. It costs 2,758 tokens per session, scanned A, original, MIT.

Repository instructions for a social-media data system that combines databases, file storage, image labeling, credentials, and artist-project workflows.

In plain words
What is it for?
Use them when working on social analytics, photo synchronization and labeling, outreach, artist links, emails, posts, or related database and storage flows.
Why use it?
They record where the main data, integrations, schemas, credentials, and operating rules live, so development work follows the existing system design.

Instructions file

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add instructions/alessio-web-dev/social-cli-mcp/claude-md
Clone the repo
git clone --depth 1 https://github.com/alessio-web-dev/social-cli-mcp

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for social-cli-mcp CLAUDE.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/alessio-web-dev/social-cli-mcp/claude-md.svg)](https://agentmods.dev/instructions/alessio-web-dev/social-cli-mcp/claude-md)
Your own site
<a href="https://agentmods.dev/instructions/alessio-web-dev/social-cli-mcp/claude-md"><img src="https://agentmods.dev/badge/instructions/alessio-web-dev/social-cli-mcp/claude-md.svg" alt="Measured on agentmods" height="20"></a>
Per session 2,758 This file is loaded in full into every session.
When invoked 2,758 The same file — it is already loaded in full.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5 $0.02758 $0.02758
Opus 5 $0.01379 $0.01379
Sonnet 5 $0.00552 $0.00552
Haiku 4.5 $0.00276 $0.00276

Measured 5d ago against content hash 6374fb4e1864, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

social-cli-mcp CLAUDE.md scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 5d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

CLAUDE.md · 226 lines

How it starts

The opening of the file, as written. The whole thing — 226 lines — stays where its author put it; the contents beside it link to each section on GitHub.

v7.0 | flutur-cc | 2026-02-07

GRAFO

S.1 "SurrealDB" :graph @localhost:8000 ns=social db=analytics root/root .schema → src/db/schema.surql .fn → {outreach_status, data_freshness, top_hashtags, daily_analytics, recent_correlations}

S.2 "Supabase" :storage+ai | file storage + Claude Vision labeling .schema → supabase/migrations/001_photos_schema.sql .client → src/db/supabase-client.ts .sync → npx tsx scripts/sync-supabase-photos.ts [import|label|sync|status]

S.3 "Keychain" :credentials service="social-cli-mcp" .api → src/core/credentials.ts | getFromKeychain() setInKeychain() .ok = {Twitter, Instagram, Gmail, Telegram, Anthropic} .setup = {YouTube, Supabase} .missing = {LinkedIn, TikTok}

S.4 "8i8.art" :epk Next.js 14.2→Vercel .config → link-hub/src/lib/artist-config.ts .utm = ?utm_campaign=beach → hero swap .cookies = zero σ₂ send link NOT PDF | PDF only when explicitly requested

ENTITÀ CENTRALI

E.1 "artist_profile:flutur" :nodo-centrale @S.1
  →creates→ E.2
  →performs_at→ venue
E.2 "software_project:jsom" :exit @github.com/alemusica/jsom
  →targets→ {Lovable, Vercel, Prisma, YC}
  =$ 6-7 fig

email →sent_to→ venue
content →taken_at_gig→ gig →performed_at→ venue
post →uses_hashtag→ hashtag
post →belongs_to_pillar→ content_pillar
story_fragment →fragment_inspires→ platform_content
story_fragment →fragment_in_arc→ story_arc
web_research →memory_link→ entity (via researchStore.save)

FLUSSI DATI

M.1 instagramFetcher ← IG API (10 calls/wk budget) → S.1:audience_snapshot
M.2 youtubeFetcher ← YT API OAuth2 → S.1:youtube_snapshot
M.3 correlator ← {M.1, M.2, S.1:epk_analytics} → S.1:analytics_correlation
  | email→views→visit→reply pattern, 3-day window
M.4 insightsArchiver → M.5 → M.6
M.5 editorialIntelligence | corridor IT↔GR 70%
M.6 contentDrafter :interview | NON inventa, chiede
  .styles = {storytelling, minimal, poetic, educational, bridge}
  .guard = "Cosa NON devo inventare?"
M.7 email-guard :safety fail-CLOSED
  .limit = 25/day
  .log → logs/send-log.json (append-only)
  → gmail-sender → S.1:email →sent_to→ venue
M.8 duplicateChecker :auto
  | exact + 70% similarity + topic cooldown 7d
  .track → {analytics/posted-tweets-index.json, analytics/posted-instagram-index.json}
M.9 storyStore :editorial | biographical narrative fragments
  .save → story_fragment → memory_link (entities)
  .query → byTheme, forChannel, unpublished, byEntity
M.10 researchStore :cache | web research persistence
  σ₂ BEFORE WebSearch → researchStore.find(topic) | skip if <7d
  σ₂ AFTER WebSearch → researchStore.save() | ALWAYS
  .query → find(topic), search(query), recent()
M.11 gmailReader :inbox | Gmail API scan + Message-ID dedup
  .scan → outreach_reply (SCHEMAFULL, UNIQUE gmail_message_id)
  .scanSent → email (sent folder scan)
  .getThread → full Gmail thread (sent+reply)
  .findThreadByMessageId → RFC2822 → gmail_thread_id
  .classify → human_reply | auto_reply | bounce
  .persist → outreach_reply + memory_link(venue)
M.12 conversationStore :threads | unified sent+reply thread view
  .get(venue) → OutreachConversation (chronological messages)
  .dashboard() → all conversations, status, action needed
  .backfillThreadIds() → link email records to Gmail threads
  .syncTracking() → tracking.json → email table
  .getGmailThread(venue) → live Gmail API thread
M.13 intelligenceRouter :orchestrator | event→action dispatcher
  .route(event) → IntelligenceBriefing {logistics, cluster, conversation, actions}
  .routeReply(venue, email, type, preview) → auto-briefing on reply
  .formatTelegram(briefing) → Telegram digest with costs + cluster + actions
  .formatConsole(briefing) → full console output
  | AUTO-TRIGGERS: morning-check runs router on every human reply
  | Logistics dept: flight + baggage + accommodation + break-even
  | Cluster dept: nearby venues in same country, contactable count
  | Conversation dept: thread status, suggested next action

Read the full file on GitHub · 226 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 5d ago First seen · 226 lines · 2,758 tokens per session scan A 6374fb4e1864

Subscribe to this mod's changes

social-cli-mcp CLAUDE.md is an instructions file published in the GitHub repository alessio-web-dev/social-cli-mcp (7 stars, last pushed 5mo ago), licensed MIT. It adds 2,758 tokens to every session, about $0.0138 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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