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CF tmdb

Query TMDb metadata for films and television, then enrich results with details, credits, providers, and external IDs. Do not use this skill for personal watch history, watchlists, or tracking; use `trakt` for user activity and watch-state workflows.

magnus919/agent-skills Agent Skills author: magnus919 MIT 7 files · 1 script body ≈ 1 515 tokens Open the sourcegithub.com↗ analyzed 27 h ago

Query TMDb metadata for films and television, then enrich results with details, credits, providers, and external IDs.

As a process F 49/100 · Will not run — References files that are not bundled: scripts/tmdb

ProcedureInfrastructureSoftware developmentMedia and videotype and topics are labelled automatically from the skill text
Runs in: Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) OpenClaw Goose OpenCode
JSON
Technical rating
C
84/100
safety, quality, tests
Safety 60%
80
Quality 40%
90
Run on models
none yet
Process rating
F
49/100
Will not run
References files that are not bundled: scripts/tmdb
Tools and files w 18
0
Result and completion w 14
0
Progress reporting w 2
0
the three weakest of ten parameters · all ten

What is at stake

Medium-severity findings: the skill is probably honest, but read what alarmed the scanner.

Exfiltration medium severity

Below is the worst case for this category. The finding here is medium: the guard saw a sign, not a proof.

If you install

The instructions or scripts send data out: environment variables, keys, file contents, chat history. You may never notice, because the agent performs the upload as "part of the task".

For the author

If the upload is not needed for the task, remove it: catalogs flag such skills and delist them. If it is needed, name the destination explicitly, say what leaves the machine, and give the user a switch.

How to improve

  1. The text references files that are not there: add them or drop the references.
For the model run — optional
  • A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.

Guard findings · 4

✓ No critical or high findings

Medium and low: 4
  • medium Exfiltration net-credential-use references/find-and-details.md:8
    Credential used in a network call (verify the destination is the intended service)
    curl -s -H "Authorization: Bearer $TMDB_ACCESS_TOKEN" \
  • medium Exfiltration net-credential-use references/find-and-details.md:20
    Credential used in a network call (verify the destination is the intended service)
    curl -s -H "Authorization: Bearer $TMDB_ACCESS_TOKEN" \
  • medium Exfiltration net-credential-use SKILL.md:68
    Credential used in a network call (verify the destination is the intended service)
    curl -s -H "Authorization: Bearer $TMDB_ACCESS_TOKEN" \
  • medium Exfiltration net-credential-use SKILL.md:76
    Credential used in a network call (verify the destination is the intended service)
    curl -s -H "Authorization: Bearer $TMDB_ACCESS_TOKEN" \

Files scanned: 6. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: scripts/tmdb

Process rating: all ten parameters 49/100

Will not run. References files that are not bundled: scripts/tmdb
  • 0Tools and files. 1 referenced file(s) missing: scripts/tmdb
  • 0Result and completion. Does not say what the result is
  • 0Progress reporting. Says nothing while it works
  • 30Running it twice. 3 mutating operations with no state check
  • 50When it triggers. No condition that starts the skill
  • 50Failures and branches. 0 branches, has a failure section
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 100Steps. 11 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1515 tokens
  • low No test case covers injection arriving through data

Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.

Quality signals

  • +5Description has no quoted example phrases that should trigger the skill
  • +3Output format is not stated: the model decides each time
  • +2Single-language instructions
  • +4Description says when NOT to use the skill
  • +3Description length 249: enough signal without eating the budget
  • +4Structure: 16 headings
  • +3Step-by-step instructions: 11 items
  • +4Has examples (7 code blocks)
  • +4Reference files are cited in the instructions (3 of 3)
  • +3All 1 scripts are documented
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 90.