Claude Codepasses structure
Checker 0.1.0 · agent-skills-2026-08-13+claude-code-docs-2026-08-13 · 9/27/2026.claude/skills/tiktok-kol-discoveryRuntime, accounts, dependencies, permissions, network behavior and task quality remain untested.
Real Skill packageSource verifiedClawHub registry
TikTok达人发现与洞察
基于TikTok的实时数据，通过自然语言检索TikTok上的达人。支持按关键词、点赞数等方向筛选，并查看达人的作品及作品表现数据、互动数据、评论内容等，分析达人画像、内容特点、活跃表现和近期作品等，帮助用户快速发现和判断适合合作的达人。
Identity and source
Publisher attributionwhy20261registry owner unverified by skillvetai
Functional categoryAwaiting category reviewreview pending · 0% rule confidence
Package forminstruction with code30 recorded files
Canonical sourceClawHub registryclawhub:why20261:tiktok-kol-discovery
Platform declarations
These states come from the source or distribution context. None of the entries below are SkillVetAI compatibility test results.
OpenClawnative officialProvenance: registry distribution
Independent structural checks
These checks parse the fixed package against dated platform rules. They do not execute the Skill or verify task behavior.
OpenAI Codexpasses structure
Checker 0.1.0 · agent-skills-2026-08-13+codex-docs-2026-08-13 · 9/27/2026.agents/skills/tiktok-kol-discoveryRuntime, accounts, dependencies, permissions, network behavior and task quality remain untested.
OpenClawpasses structure
Checker 0.1.0 · agent-skills-2026-08-13+openclaw-docs-2026-08-13 · 9/27/2026skills/tiktok-kol-discoveryRuntime, accounts, dependencies, permissions, network behavior and task quality remain untested.
Installation and inspection
This command is recorded from the source ecosystem and resolves the registry's latest release. The fixed release shown on this page should be inspected before adoption.
clawhub install @why20261/tiktok-kol-discoveryclawhub inspect @why20261/tiktok-kol-discovery --version 1.0.0Security evidence
SkillVetAI static result: no findings detected
This automated, non-executing scan is bound to this release hash. It is not a safety certification and may contain false positives or false negatives.
- Status
- completed
- Coverage
- full text content
- Files
- 30 / 30 inspected as text
- Checked
- 9/27/2026, 5:16:25 AM
- Scanner
- 0.1.3
- Policy
- 1.0.3
5 inferred permission indicators
- network access — automatically inferred
- filesystem read — automatically inferred
- filesystem write — automatically inferred
- credential access — automatically inferred
- external write action — automatically inferred
5 dependency and API indicators
- api: clawhub.ai
- api: github.com
- api: img.shields.io
- api: json-schema.org
- api: www.tiktok.com
External clawhub result: clean
This is registry-supplied evidence for the recorded release, not an independent SkillVetAI scan. Check the canonical source for the full report, scanner versions, scope, and current moderation state.
- Evidence checked
- 9/27/2026, 3:47:33 AM
- Release binding
- Matches this record
- vt: clean
- skillspector: suspicious
- llm: clean
Recorded files
The catalog stores hashes and an inventory summary for change detection. It does not republish the package contents.
Package content hash
sha256:dd1f6c74d950238223d5b639faa6bffeec4799eef1b56706d50d231757ed1f89Show up to 30 recorded paths
assets/comment_cli_req.schema.jsonassets/comment_cli_resp.schema.jsonassets/post_cli_req.schema.jsonassets/post_cli_resp.schema.jsonassets/search_cli_req.schema.jsonassets/search_cli_resp.schema.jsonpackage.jsonreadme.mdreferences/changelog.mdreferences/options.mdscripts/api/comment.jsscripts/api/post.jsscripts/api/search.jsscripts/config/constants.jsscripts/tiktok/comment-cli.jsscripts/tiktok/post-cli.jsscripts/tiktok/search-cli.jsscripts/utils/args.jsscripts/utils/errors.jsscripts/utils/log.jsscripts/utils/name.jsscripts/utils/request.jsscripts/utils/retry.jsscripts/utils/token.jsscripts/utils/utils.jsscripts/validate/comment.jsscripts/validate/keyword.jsscripts/validate/post.jsskill-card.mdSKILL.md
Source changelog
tiktok-kol-discovery v1.0.0 - 首次发布，支持基于TikTok实时数据的达人（KOL）发现与分析。 - 提供三大功能：关键词检索达人/作品、获取博主作品、抓取视频评论及互动数据。 - 支持多维筛选（关键词、点赞数、发布时间等），并以结构化JSON输出数据。 - 明确调用路由和参数规则，便于市场调研、KOL筛选、舆情分析和内容运营使用。 - 详细列举适用场景、能力边界以及标准化的输出格式与错误处理。