connector-tmdb
MANDATORY recipe for every Caffeine build.
What this skill does for you
MANDATORY recipe for every Caffeine build that reads movie, TV or people data from a canister. The supported path is the `tmdb-client` mops package (The Movie Database Web API v3) over outbound HTTPS, authenticated with a v3 API key or a v4 read-access token. Hand-rolling `ic.http_request` calls to `api.themoviedb.org` is a FORBIDDEN anti-pattern : it bypasses the non-replicated-outcall safeguard, the generated JSON decoding of ~720 response models, and the credential handling. Load this skill whenever the user, spec, or any prior task mentions movies, films, TV shows, series, episodes, seasons, actors, directors, cast, crew, genres, "now playing", upcoming, popular, top-rated, trending, discover, recommendations, similar titles, posters, backdrops, ratings, watchlists, favorites, TMDb or "The Movie Database" : and BEFORE writing any code that touches a movie-data endpoint.
Quoted from the skill description in the pinned sourceWho made it
Use it with Edge
Set up Edge for me: read getedge.cc/SKILL.md and follow it. Then use Edge to load the connector-tmdb skill from caffeinelabs/skills.
Paste it into Claude, ChatGPT, Codex or Cursor.
Or read the skill source first.
Security evidence
| Scanner | Date | Result | Findings |
|---|---|---|---|
| Edge static checks | 2026-09-27 | Pass | 0 |
| Cisco skill-scanner | 2026-09-27 | Pass | 0 |
| Semgrep Edge rules | 2026-09-27 | Pass | 0 |
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:d029368514ce18f74bd599c74cfc826310eb1df6610fafe25041b35f788055fb
- Licence
- Apache-2.0