Skill audit report
make-npcs-talk Audit report.
Make NPCs in a game talk back. The player speaks or types, the NPC answers in character, in a cloned voice, about 1-2 seconds later, and can act on what was said. Covers the whole loop and the order to build it in (who is being talked to, what the scene is, speech-to-text, an LLM in character, Fish Audio voices on a GPU, streamed playback from the NPC, subtitles, mouth movement, actions), the four hooks a game has to provide, latency budgets, costs, testing in the real game, and the rules (single-player, voices you have the rights to, nothing of the game shipped). Use when the user wants NPCs, characters, villagers, companions or enemies in any game to hold conversations, react to the player's voice, or be voiced by Fish Audio (S2 Pro or Drama 3) and an LLM.
OpenAgentSkill Trust Score
OpenAgentSkill Trust Score
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
WARN48
54 GitHub stars
Stars/forks activity
WARN43
54 stars, 4 forks; issue activity unavailable in current metadata
Recent maintenance
PASS100
5d since push
License clarity
PASS86
MIT
README/SKILL.md completeness
PASS86
Metadata includes enough usage and workflow context
Dependency/runtime risk
INFO64
credential or environment access, network or browser surface
Install availability
PASS92
npx skills add christos-antono/NPCTalk --skill make-npcs-talk
Install command safety
PASS92
standard package or runtime install path
Permission surface
FAIL34
secrets or environment access, filesystem or document access
Repository evidence
PASS86
https://github.com/christos-antono/NPCTalk/tree/main/.claude/skills/make-npcs-talk
Review status
WARN46
AI review approval is missing
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install and adoption review
Install path
92
npx skills add christos-antono/NPCTalk --skill make-npcs-talk
Repository
88
https://github.com/christos-antono/NPCTalk/tree/main/.claude/skills/make-npcs-talk
License
86
MIT
Maintenance
100
5d since push
AI review
55
Review approval is missing
README/SKILL.md completeness
86
Usable description available
Dependency risk
64
credential or environment access, network or browser surface
Install command safety
92
standard package or runtime install path
Permission surface
34
secrets or environment access, filesystem or document access
Stars/forks activity
43
54 stars, 4 forks; issue activity unavailable in current metadata
Adoption
68
54 GitHub stars
Warnings
- Permission surface may require sandboxing
- AI review approval is missing
- Quality score needs review
- Permission surface needs review: secrets or environment access, filesystem or document access
- GitHub adoption: 54 GitHub stars
- Stars/forks activity: 54 stars, 4 forks; issue activity unavailable in current metadata
- Permission surface: secrets or environment access, filesystem or document access
- Review status: AI review approval is missing
Method
This report combines public metadata, AI review output, repository freshness, install readiness, OpenAgentSkill events, quality scoring, trust checks, and the agent safety gate. It is not a full source-code security review.
Compare nearby options
Related skills to audit next
openai-whisper
Local speech-to-text with the Whisper CLI (no API key).
391K Stars · Audit report
events
When the user wants to plan, run, sponsor, speak at, or get pipeline from events — webinars, conferences, trade shows, meetups, dinners, workshops, virtual summits, or user conferences. Also use when the user mentions 'event marketing,' 'field marketing,' 'run a webinar,' 'webinar funnel,' 'show-up rate,' 'should we sponsor,' 'sponsor a conference,' 'trade show booth,' 'booth strategy,' 'event ROI,' 'badge scans,' 'event follow-up,' 'speaking slot,' 'CFP,' 'conference talk,' 'host a dinner,' 'user conference,' or 'virtual summit.' Covers all four roles: hosting, sponsoring/exhibiting, speaking, and attending. For product launch moments, see launch. For the partnership side of joint webinars, see co-marketing. For ongoing community programs, see community-marketing. For podcast appearances, see public-relations. For the email sequences themselves, see emails.
55K Stars · Audit report
nemo-curator
GPU-accelerated data curation for LLM training. Supports text/image/video/audio. Features fuzzy deduplication (16× faster), quality filtering (30+ heuristics), semantic deduplication, PII redaction, NSFW detection. Scales across GPUs with RAPIDS. Use for preparing high-quality training datasets, cleaning web data, or deduplicating large corpora.
13K Stars · Audit report