logseq
No security findings. Scanned 1 time, most recently 2026-02-01.
Second scanner: NVIDIA SkillSpector
SkillSpector found no issues but could not fully inspect the package, usually because SKILL.md refers to a file that is not present, so it fails closed to CAUTION instead of SAFE. Read it as "not fully checked", not as a finding. How the two scanners compare across the whole corpus: Two scanners, one corpus.
What this skill does
Provide commands for interacting with a local Logseq instance through its Plugin API. Use for creating pages, inserting blocks, querying the graph database, managing tasks, retrieving content, or automating workflows in Logseq. Only works with a locally running instance with the API enabled; default port or set path expected for [$API accessible skill].
- Package
- 3 files, 35 KB
- SKILL.md
- 955 words, 12+ sections
- Code
- None. Instructions only.
SKILL.md covers: Logseq Plugin API · Prerequisites · Core API Namespaces · `logseq.App` · `logseq.Editor` · `logseq.DB` · `logseq.UI` · `logseq.Git` · `logseq.Assets` · Common Workflows · Read Content · Write Content
Findings
No findings. SAFE
What is in the package
| File | Kind | Size |
|---|---|---|
SKILL.md | doc | 7.4 KB |
references/api-reference.md | doc | 14 KB |
references/examples.md | doc | 14 KB |
External hosts referenced
github.com logseq.github.io discord.gg
Hostnames that appear in the skill's files. Referencing a host is not a finding; compare against the findings above and the skill's stated purpose.
Package contents recorded 2026-10-22. The scan above ran against the version current at scan time; the two can differ if the skill has since been updated.
What we checked
- Static analyzer. Pattern rules over SKILL.md and bundled files: known-bad commands, exfiltration URLs, secrets, obfuscation.
- Behavioral analyzer. Checks what the skill asks the agent to do against what its description claims it does.
- Llm analyzer. A language model reads the skill and reports intent-level issues the rules cannot express.
- Trigger analyzer. Looks for instructions that fire on conditions the user did not ask for.
- Meta analyzer. A second model pass that validates, deduplicates and re-scores the other analyzers' findings.
What we did not check
- Runtime behaviour. The skill was not executed; findings come from reading its files.
- Anything fetched at install or run time, including remote scripts, package dependencies, and URLs the skill tells the agent to open.
- Content the analyzers cannot read: images, binaries, and some non-English text.
- Known scanner bypass classes. See the methodology and limitations page.
Sources
- Repository: https://clawhub.ai/skills/logseq
- Raw scan result: logseq-scan.json
- Badge for your README:
- Request a re-scan