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BF embedded-solution

Recommend embedded system solutions: chip selection, BOM design, vendor comparison, and reference design matching across multiple semiconductor vendors. Triggers when user mentions embedded systems, electronic products, smart devices, technical solutions, chips, hardware, datasheets, firmware, or development boards (when used for embedded system design — NOT for pure software/learning questions). All component specs MUST be fetched from official vendor sources. Never fabricate part numbers, parameters, or pricing.

ClawHub Hermes author: wangp-gh v0.1.3 MIT-0 80 files body ≈ 6 611 tokens Open the sourceclawhub.ai↗ analyzed 34 h ago

Recommend embedded system solutions: chip selection, BOM design, vendor comparison, and reference design matching across multiple semiconductor vendors.

As a process F 43/100 · Will not run — References files that are not bundled: scripts/test_outofcatalog.py, references/semiconductor-vendor/<Vendor>/product_families.md, scripts/build_application_index.py

ProcedureCloudflareSoftware developmentAI and agentsResearchtype and topics are labelled automatically from the skill text
Runs in: OpenClaw Hermes Agent
JSON
Technical rating
B
82/100
safety, quality, tests
Safety 60%
100
Quality 40%
55
Run on models
none yet
Process rating
F
43/100
Will not run
References files that are not bundled: scripts/test_outofcatalog.py, references/semiconductor-vendor/<Vendor>/product_families.md, scripts/build_application_index.py
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

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 SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
  3. 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: 80. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-long-hermes description is 520 chars; the Hermes authoring standard requires ≤ 60 (one sentence, ending with a period)
  • warning body-long SKILL.md body ≈ 6611 tokens (recommended < 5000); move details to references/
  • warning missing-ref reference to a missing file: scripts/test_outofcatalog.py
  • warning missing-ref reference to a missing file: references/semiconductor-vendor/<Vendor>/product_families.md
  • warning missing-ref reference to a missing file: scripts/build_application_index.py
  • warning missing-ref reference to a missing file: references/application-solution/<topic>/solution.md
  • warning missing-ref reference to a missing file: references/semiconductor-vendor/<Vendor>/system-solutions/

Process rating: all ten parameters 43/100

Will not run. References files that are not bundled: scripts/test_outofcatalog.py, references/semiconductor-vendor/<Vendor>/product_families.md, scripts/build_application_index.py
  • 0Tools and files. 5 referenced file(s) missing: scripts/test_outofcatalog.py, references/semiconductor-vendor/<Vendor>/product_families.md, scripts/build_application_index.py
  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 30Running it twice. 7 mutating operations with no state check
  • 60Steps. 88 steps, 6 vague phrases
  • 60Consistency. The Hermes dialect needs category and tags
  • 70Execution cost. Instruction body is 6611 tokens
  • 100When it triggers. States when to use and when not to
  • 100Failures and branches. 3 branches, has a failure section
  • 100Progress reporting. Reports progress
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
  • low The skill ranks results itself: that belongs to the system behind the tool, not the model
  • low The response is described with custom markup (15 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
  • +3Output format is not stated: the model decides each time
  • +4No input/output examples
  • -213 emoji in the instructions: noise for the model
  • +2Single-language instructions
  • +4Description says when NOT to use the skill
  • +3Description length 519: enough signal without eating the budget
  • +4Structure: 16 headings
  • +3Step-by-step instructions: 88 items
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 55.

External checks

ClawHub: clean
This hardware-recommendation skill uses local chip catalogs plus disclosed web and datasheet lookups, and I found no hidden, destructive, or unrelated behavior.
LLM: benign (high) · VirusTotal: · 9 Jul 2026