SKILLEMALL.ai
RU Sign in

AF hsb-ip-def

Generate, validate, compare, or explain HSB HOLOLINK_def.svh macros. Do not use for FPGA_top.sv wrappers or packetizer-only derivation. Generation runs bundled Python scripts locally through shell commands and writes validated .svh output files after user-confirmed paths.

ClawHub Agent Skills author: NVIDIA 1 file body ≈ 2 621 tokens Open the sourceclawhub.ai↗ analyzed 35 h ago

Generate, validate, compare, or explain HSB HOLOLINKdef.svh macros. Do not use for FPGAtop.sv wrappers or packetizer-only derivation. Generation runs bundled…

As a process F 54/100 · Will not run — References files that are not bundled: references/macro-reference.md, references/script-usage.md, scripts/validate_def.py

AnalyzerSoftware developmenttype and topics are labelled automatically from the skill text
Runs in: OpenClaw Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) Goose OpenCode
JSON
Technical rating
A
90/100
safety, quality, tests
Safety 60%
100
Quality 40%
76
Run on models
none yet
Process rating
F
54/100
Will not run
References files that are not bundled: references/macro-reference.md, references/script-usage.md, scripts/validate_def.py
Tools and files w 18
0
Result and completion w 14
0
Progress reporting w 2
0
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: 1. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: references/macro-reference.md
  • warning missing-ref reference to a missing file: references/script-usage.md
  • warning missing-ref reference to a missing file: scripts/validate_def.py
  • warning missing-ref reference to a missing file: references/generate-workflow.md
  • warning missing-ref reference to a missing file: scripts/generate_def.py
  • warning missing-ref reference to a missing file: references/validation-rules.md
  • warning missing-ref reference to a missing file: references/top-port-map.md
  • warning missing-ref reference to a missing file: references/init-reg-cookbook.md
  • warning missing-ref reference to a missing file: references/advanced-macros.md
  • warning missing-ref reference to a missing file: references/archetypes.md
  • warning missing-ref reference to a missing file: scripts/compare_defs.py
  • warning missing-ref reference to a missing file: scripts/build_corpus_metadata.py
  • warning missing-ref reference to a missing file: assets/metadata/corpus.json
  • warning missing-ref reference to a missing file: assets/metadata/corpus-stats.json
  • note frontmatter-key unknown frontmatter key "permissions"

Process rating: all ten parameters 54/100

Will not run. References files that are not bundled: references/macro-reference.md, references/script-usage.md, scripts/validate_def.py
  • 0Tools and files. 14 referenced file(s) missing: references/macro-reference.md, references/script-usage.md, scripts/validate_def.py
  • 0Result and completion. Does not say what the result is
  • 0Progress reporting. Says nothing while it works
  • 30Running it twice. 6 mutating operations with no state check
  • 50When it triggers. No condition that starts the skill
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 100Steps. 43 steps
  • 100Failures and branches. 2 branches, has a failure section
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 2621 tokens
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
  • low 16 top-level sections: this looks like several domains in one skill
  • low The response is described with custom markup (5 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
  • +2Single-language instructions
  • +4Description says when NOT to use the skill
  • +3Description length 272: enough signal without eating the budget
  • +4Structure: 17 headings
  • +3Step-by-step instructions: 43 items
  • +4Has examples (0 code blocks)
  • +1License stated

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