SKILLEMALL.ai

CD clickhouse-js-node-rowbinary

Generate TypeScript/JavaScript code that reads/decodes AND writes/encodes ClickHouse RowBinary streams for the ClickHouse HTTP server. Use this skill whenever a user wants to parse or produce `RowBinary`, `RowBinaryWithNames`, or `RowBinaryWithNamesAndTypes`. Node.js only, doesn't cover browsers.

ClickHouse/agent-skills Agent Skills author: ClickHouse 80 files · 63 scripts body ≈ 1 183 tokens Open the sourcegithub.com↗ analyzed 5 d ago

Generate TypeScript/JavaScript code that reads/decodes AND writes/encodes ClickHouse RowBinary streams for the ClickHouse HTTP server.

As a process D 42/100 · Unfinished process — References files that are not bundled: writer.md

GeneratorSoftware developmenttype and topics are labelled automatically from the skill text
JSON
Technical rating
C
87/100
safety, quality, tests
Safety 60%
95
Quality 40%
74
Run on models
none yet
Process rating
D
42/100
Unfinished process
References files that are not bundled: writer.md
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. 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 · 5

✓ No critical or high findings

Medium and low: 5
  • low Secrets in code secret-high-entropy-token package-lock.json:26
    High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
    "integrity": "sha5…iJn+RZR0…3Ew+gAAS…FBA==",
    detector
  • low Secrets in code secret-high-entropy-token package-lock.json:154
    High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
    "integrity": "sha5…TGM+w1We/d5B8…wkU/uA1w…9ew==",
    detector
  • low Secrets in code secret-high-entropy-token package-lock.json:254
    High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
    "integrity": "sha5…Gs9+Ejjud2T+oxO0…45Y+lyEj…ugo/oIv1eCO/KVYhgYJYA==",
    detector
  • low Secrets in code secret-high-entropy-token package-lock.json:374
    High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
    "integrity": "sha5…ERI+KRMt…psq++e3Dv…UYw==",
    detector
  • low Secrets in code secret-high-entropy-token package-lock.json:446
    High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
    "integrity": "sha5…zyK+zBtJ…hog==",
    detector

Files scanned: 76. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: writer.md

Process rating: all ten parameters 42/100

Will not run. References files that are not bundled: writer.md
  • 0Tools and files. 1 referenced file(s) missing: writer.md
  • 0Result and completion. Does not say what the result is
  • 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
  • 30Running it twice. 2 mutating operations with no state check
  • 100Steps. 18 steps
  • 100When it triggers. States when to use and when not to
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1183 tokens

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
  • +4No input/output examples
  • +1No license
  • +2Single-language instructions
  • +3Description length 297: enough signal without eating the budget
  • +4Structure: 6 headings
  • +3Step-by-step instructions: 18 items

Quality base 70; lint remarks subtract, signals add up to 100. Result: 74.