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BD segment-anything-model

Foundation model for image segmentation with zero-shot transfer. Use when you need to segment any object in images using points, boxes, or masks as prompts, or automatically generate all object masks in an image.

synthetic-sciences/OpenScience Hermes author: synthetic-sciences Apache-2.0 3 files body ≈ 3 167 tokens Open the sourcegithub.com↗ analyzed 5 d ago

Foundation model for image segmentation with zero-shot transfer.

As a process D 36/100 · Unfinished process — References files that are not bundled: checkpoint="sam_vit_h_4b8939.pth", checkpoint="sam_vit_b_01ec64.pth"

ProcedureGitHubAI and agentstype and topics are labelled automatically from the skill text
Runs in: Hermes Agent
JSON
Technical rating
B
90/100
safety, quality, tests
Safety 60%
100
Quality 40%
76
Run on models
none yet
Process rating
D
36/100
Unfinished process
References files that are not bundled: checkpoint="sam_vit_h_4b8939.pth", checkpoint="sam_vit_b_01ec64.pth"
Tools and files w 18
0
Inputs and preconditions w 11
0
Failures and branches w 10
0
the three weakest of ten parameters · all ten

How to improve

  1. For Hermes the description must be one sentence under 60 characters; move the conditions to a "When to Use" section.
  2. 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: 3. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-long-hermes description is 212 chars; the Hermes authoring standard requires ≤ 60 (one sentence, ending with a period)
  • warning missing-ref reference to a missing file: checkpoint="sam_vit_h_4b8939.pth"
  • warning missing-ref reference to a missing file: checkpoint="sam_vit_b_01ec64.pth"
  • note frontmatter-key unknown frontmatter key "dependencies"

Process rating: all ten parameters 36/100

Will not run. References files that are not bundled: checkpoint="sam_vit_h_4b8939.pth", checkpoint="sam_vit_b_01ec64.pth"
  • 0Tools and files. 2 referenced file(s) missing: checkpoint="sam_vit_h_4b8939.pth", checkpoint="sam_vit_b_01ec64.pth"
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Failures and branches. Linear process with no failure handling
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 2 mutating operations with no state check
  • 40Consistency. Frontmatter name (segment-anything-model) differs from the folder (segment-anything)
  • 60Result and completion. Output format stated, no completion criterion
  • 100Steps. 23 steps
  • 100Execution cost. Instruction body is 3167 tokens
  • low 13 top-level sections: this looks like several domains in one skill

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)
  • +2Single-language instructions
  • +3Description length 212: enough signal without eating the budget
  • +4Structure: 39 headings
  • +3Step-by-step instructions: 23 items
  • +3Output format is stated explicitly
  • +4Has examples (23 code blocks)
  • +4Reference files are cited in the instructions (2 of 2)
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 76.