SKILLEMALL.ai

BF bird-watching-mode

Bird-watching log workflow: ask for place on enable, resolve eBird region via superpicky-cli region-query, persist to workspace/bird.json; record sightings (time, species) from user text or BirdID photo identify; export CSV summary for the user. Invocation requires absolute paths for script, --workspace, and image files. Use when the user enables 观鸟模式, bird watching mode, wants to log birds, export sightings to CSV, or record species from photos to bird.json.

ClawHub Agent Skills author: yoshino-s v1.0.0 MIT-0 14 files · 1 script body ≈ 1 656 tokens Open the sourceclawhub.ai analyzed 4 d ago

As a process F 54/100 · Will not run — References files that are not bundled: ../superpicky-cli/SKILL.md

ProcedureData and analyticsInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
B
88/100
safety, quality, tests
Safety 60%
100
Quality 40%
71
Run on models
none yet
Process rating
F
54/100
Will not run
References files that are not bundled: ../superpicky-cli/SKILL.md
Tools and files w 18
0
Result and completion w 14
0
Running it twice w 4
30
the three weakest of ten parameters · all ten

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 · 0

✓ No critical or high findings

Files scanned: 14. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: ../superpicky-cli/SKILL.md

Process rating: all ten parameters 54/100

Will not run. References files that are not bundled: ../superpicky-cli/SKILL.md
  • 0Tools and files. 1 referenced file(s) missing: ../superpicky-cli/SKILL.md
  • 0Result and completion. Does not say what the result is
  • 30Running it twice. 12 mutating operations with no state check
  • 55Failures and branches. 1 branches
  • 70When it triggers. States when to use, but not when not to
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 100Steps. 22 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1656 tokens
  • 100Progress reporting. Reports progress

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
  • -4Absolute local paths (C:\Users, /home/…): not portable
  • -34 of 11 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +3Description length 463: enough signal without eating the budget
  • +4Structure: 13 headings
  • +3Step-by-step instructions: 22 items
  • +4Has examples (2 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 71.

External checks

ClawHub: clean
This skill does what it claims: it keeps a local bird-watching log, can identify bird photos through a disclosed helper tool, and can export the log to CSV on request.
LLM: benign (high) · VirusTotal: · 29 May 2026