SKILLEMALL.ai

BF owntracks-location

Your phone's location, on your own machine, behind a token. An OwnTracks HTTP receiver that stores the trail in a local SQLite/JSON store you own, with named places and distance queries. Binds to 127.0.0.1 by default and refuses to start without a token, so there is no unauthenticated path to your location — reads and writes both need it. Retention is capped by default (7 days / 500 points) and `--purge-data` erases the trail on demand. Use when: (1) "where am I?", (2) storing named locations (home, gym, work), (3) querying nearby places by distance, (4) checking location history. Requires: OwnTracks app, Node.js 22+, better-sqlite3. Built for the TinkerClaw fork — github.com/globalcaos/tinkerclaw. See Permissions, Data Flow & Consent.

ClawHub Agent Skills author: Oscar Serra v1.0.2 MIT-0 5 files · 1 script body ≈ 2 806 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process F 41/100 · Will not run — References files that are not bundled: scripts/data

GeneratorGitHubInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
B
85/100
safety, quality, tests
Safety 60%
90
Quality 40%
77
Run on models
none yet
Process rating
F
41/100
Will not run
References files that are not bundled: scripts/data
Tools and files w 18
0
Result and completion w 14
0
Inputs and preconditions w 11
0
the three weakest of ten parameters · all ten

What is at stake

Medium-severity findings: the skill is probably honest, but read what alarmed the scanner.

Exfiltration medium severity

Below is the worst case for this category. The finding here is medium: the guard saw a sign, not a proof.

If you install

The instructions or scripts send data out: environment variables, keys, file contents, chat history. You may never notice, because the agent performs the upload as "part of the task".

For the author

If the upload is not needed for the task, remove it: catalogs flag such skills and delist them. If it is needed, name the destination explicitly, say what leaves the machine, and give the user a switch.

How to improve

  1. The text references files that are not there: add them or drop the references.
For the model run — optional
  • Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
  • A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.

Guard findings · 2

✓ No critical or high findings

Medium and low: 2
  • medium Exfiltration net-credential-use SKILL.md:157
    Credential used in a network call (verify the destination is the intended service)
    curl -s -H "Authorization: Bearer $TOKEN" http://loca…793/latest
  • medium Exfiltration net-credential-use SKILL.md:231
    Credential used in a network call (verify the destination is the intended service)
    curl -s -H "Authorization: Bearer $TOKEN" http://loca…793/latest

Files scanned: 4. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: scripts/data
  • note frontmatter-key unknown frontmatter key "repository"
  • note frontmatter-key unknown frontmatter key "homepage"

Process rating: all ten parameters 41/100

Will not run. References files that are not bundled: scripts/data
  • 0Tools and files. 1 referenced file(s) missing: scripts/data
  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 13 mutating operations with no state check
  • 65Failures and branches. 3 branches
  • 100Steps. 13 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 2806 tokens
  • 100Progress reporting. Reports progress
  • high The skill tells the model to perform an irreversible action with no human approval
  • low The response is described with custom markup (7 tags): a typed call is more reliable

Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.

Quality signals

  • +5Description has no quoted example phrases that should trigger the skill
  • +4Description does not say when NOT to use the skill (false activations)
  • +3Output format is not stated: the model decides each time
  • -2localhost URLs: will not work for another user
  • +1No license
  • +2Single-language instructions
  • +3Description length 745: enough signal without eating the budget
  • +4Structure: 15 headings
  • +3Step-by-step instructions: 13 items
  • +4Has examples (10 code blocks)
  • +3All 2 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 77.

External checks

ClawHub: clean
This skill handles sensitive location data, but its behavior is clearly disclosed, locally scoped, token-protected, and aligned with its stated OwnTracks receiver purpose.
LLM: benign (high) · VirusTotal: · 9 Sept 2026