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Skill evidence / connector-x
Skill profile

connector-x

MANDATORY recipe for every Caffeine build.

What this skill does for you

MANDATORY recipe for every Caffeine build that posts to X (Twitter) from a canister. The supported path is the `x-client` mops package (X API v2) over outbound HTTPS, with per-user OAuth 2.0 (PKCE, no client secret). Hand-rolling `ic.http_request` calls to `api.x.com` is a FORBIDDEN anti-pattern : it bypasses bearer auth, the non-replicated-outcall safeguard, and the package's null-field JSON handling. Load this skill whenever the user, spec, or any prior task mentions posting a tweet, "tweet this", X/Twitter, sharing to X, or any equivalent phrasing : and BEFORE writing any code that touches an X endpoint.

Quoted from the skill description in the pinned source

Who made it

Publishercaffeinelabs
Repositoryskills
Installs2,000as of Sep 27, 2026

Use it with Edge

Set up Edge for me: read getedge.cc/SKILL.md and follow it. Then use Edge to load the connector-x skill from caffeinelabs/skills.

Paste it into Claude, ChatGPT, Codex or Cursor.

Or read the skill source first.

Security evidence

Security state at 2026-09-30: reviewed. State definitions. This records static evidence for this revision; live load eligibility is checked again.

3 static scans, 0 counted findings. The listed scanners recorded the results shown for this package revision.

ScannerDateResultFindings
Edge static checks2026-09-27Pass0
Cisco skill-scanner2026-09-27Pass0
Semgrep Edge rules2026-09-27Pass0

Static scans check the code, not how well the skill works.

Scanner scope, raw findings and mirrored provider records

Edge static checks (Edge-run): edge-static/1.0.1. Scope: Static patterns for remote execution, credentials with network sends, obfuscation, prompt overrides, hidden Unicode, binaries and persistence. Revision: e5cacdfe5ce55e939edb02980fca800c0c13f421. Raw findings: . Counted findings: .

Cisco skill-scanner (Edge-run): cisco-skill-scanner/2.1.0. Scope: Local static, YARA, pipeline and behavioral analyzers; no LLM or AI Defense analysis. Revision: e5cacdfe5ce55e939edb02980fca800c0c13f421. Raw findings: 1. Counted findings: .

Semgrep Edge rules (Edge-run): semgrep/1.178.0+edge-rules.c15016a36fd3+offline-v1. Scope: Six Edge-authored static rules with Semgrep CE; offline execution and metrics disabled. Semgrep-maintained rules excluded. Revision: e5cacdfe5ce55e939edb02980fca800c0c13f421. Raw findings: . Counted findings: .

Source and licence

Repository
https://github.com/caffeinelabs/skills
Pinned skill file
View source at revision
Revision
e5cacdfe5ce55e939edb02980fca800c0c13f421
Package hash
sha256:e75e15e020d46c5242ab8accb9e116f87822cc4432ed2479d9113d613eca0781
Licence
Apache-2.0