SKILLEMALL.ai

BC wdp-ctx

Use when the user runs /wdp-ctx to save, load, verify, export, or clear the project's context so it survives session reset and can be resumed by any coding agent. Subcommands: sum, init, profile, verify, export, list, clear

ClawHub Claude Code author: wdp v1.1.1 MIT-0 4 files · 1 script body ≈ 3 020 tokens Open the sourceclawhub.ai analyzed 3 d ago

Subcommands: sum, init, profile, verify, export, list, clear

As a process C 51/100 · Has gaps — weak spots: result and completion, inputs and preconditions, failures and branches

AnalyzerAI and agentsSoftware developmentWriting and documentstype and topics are labelled automatically from the skill text
JSON
Technical rating
B
88/100
safety, quality, tests
Safety 60%
100
Quality 40%
69
Run on models
none yet
Process rating
C
51/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
Failures and branches w 10
0
the three weakest of ten parameters · all ten

How to improve

    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: 4. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    • warning frontmatter-yaml SKILL.md: the frontmatter is not valid YAML (YAML parse error: Nested mappings are not allowed in compact mappings at line 2, column 14: description: Use when the user runs /wdp-ctx to save, load, verify, export, or … ^ ); fields were read line by line. The usual cause is a colon inside an unquoted value

    Process rating: all ten parameters 51/100

    • 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
    • 30Running it twice. 10 mutating operations with no state check
    • 60Tools and files. Uses tools (bash) that frontmatter does not declare
    • 70When it triggers. States when to use, but not when not to
    • 100Steps. 67 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 3020 tokens
    • 100Progress reporting. Reports progress
    • low 16 top-level sections: this looks like several domains in one skill
    • low The response is described with custom markup (6 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
    • +4Description does not say when NOT to use the skill (false activations)
    • +3Output format is not stated: the model decides each time
    • -5TODO / placeholder text left in the skill
    • +1No license
    • +2Single-language instructions
    • +3Description length 223: enough signal without eating the budget
    • +4Structure: 19 headings
    • +3Step-by-step instructions: 67 items
    • +4Has examples (8 code blocks)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 69.

    External checks

    ClawHub: clean
    This skill is a disclosed project-context snapshot tool with an optional reminder hook; the hook persists if installed but only prints reminders and does not save, load, delete, or transmit data by itself.
    LLM: benign (high) · VirusTotal: · 9 Aug 2026