Video Intelligence
Orchestrate evidence-based video research across platforms, transcripts, Whisper fallback, keyframes, source verification, and cross-video synthesis. Use for one or many videos when the result must be traceable, comparable, and reusable rather than a generic summary.
Install
$ agentstack add skill-tikazi-tikaz-ai-skills-video-intelligence ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Links to your public security report.[](https://agentstack.voostack.com/security/report/skill-tikazi-tikaz-ai-skills-video-intelligence) Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
Video Intelligence
Designed, integrated, refactored, and continuously maintained by TIKAZ.
TIKAZ method
- Create a source ledger before analysis: platform, stable ID, author, date, duration, access status, and evidence available.
- Route acquisition to
video-platform-reader; never treat a title, description, or search snippet as watched content. - Assign an evidence level:
L0 metadata,L1 native transcript,L2 timestamped ASR,L3 transcript + keyframes, orL4 media evidence + primary-source verification. - Separate five statement types: source claim, transcript evidence, visual observation, external verification, and TIKAZ inference/recommendation.
- Produce one card per source before cross-source synthesis.
- Merge only after recording agreements, conflicts, dependencies, missing evidence, and confidence.
Handoff contract
Pass structured source records, not prose-only summaries. Knowledge capture may begin only after every requested source has an access and evidence status.
Completion gate
Finish when every source is accounted for, important visual claims are checked or explicitly unverified, timestamps support key claims where available, and synthesized recommendations cite their evidence path.
Read [references/routing.md](references/routing.md) for routing and [references/output-contract.md](references/output-contract.md) for the record schema.
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: TIKAZI
- Source: TIKAZI/TIKAZ-AI-Skills
- License: MIT
- Homepage: https://tikazi.github.io/TIKAZ-AI-Skills/
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.