obsidian-tasks
No security findings. Scanned 1 time, most recently 2026-02-06.
Second scanner: NVIDIA SkillSpector
Independent static run, no language model, over the same files as the Cisco scan above. How the two scanners compare across the whole corpus: Two scanners, one corpus.
What this skill does
Set up and manage an Obsidian task board with Kanban + Dataview. Creates a Tasks/Board.md pipeline (Backlog/Todo/In Progress/Review/Done), per-task notes with YAML frontmatter (status/priority/category/due), and dashboards via Dataview queries. Use for task tracking, moving cards between columns, keeping board + frontmatter in sync, and linking tasks to supporting notes/research.
- Package
- 4 files, 9.5 KB
- SKILL.md
- 448 words, 12+ sections
- Code
- Shell (1), Python (1)
SKILL.md covers: obsidian-tasks · Setup · Task Note Format · Task Title · References · Status · Frontmatter Fields · Priority Labels on Board · Managing Tasks · Create a Task · Move a Task · Complete a Task
Findings
No findings. SAFE
What is in the package
| File | Kind | Size |
|---|---|---|
README.md | doc | 2.0 KB |
SKILL.md | doc | 3.3 KB |
scripts/publish_clawhub.sh | script | 820 B |
scripts/setup.py | script | 3.4 KB |
External hosts referenced
github.com auth.clawdhub.com clawhub.ai obsidian.md openclaw.ai
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.
Environment variables referenced
REGISTRY_URL REPO_DIR SITE_URL
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/openclaw-obsidian-tasks
- Raw scan result: obsidian-tasks-scan.json
- Badge for your README:
- Request a re-scan