SKILLEMALL.ai

AD alter-identity-orderbook

Use when an agent has an ongoing, standing need for people matching specific trait ranges, rather than a single one-off search. Covers posting a resting identity-trait order, listing and reading your own open orders, cancelling one, collecting priced fills over time as matching identities are claimed or updated, reading a person's existing matches in one shot, and the opt-in a person must set before they can appear in any standing match at all. Trigger phrases include "keep watching for people who match", "post a standing requirement", "alert me as new matches appear", "collect my order fills", "cancel my open requirement", "list my resting orders", "what matches do I have", "join the standing match pool", "stop appearing in matches".

ClawHub Agent Skills author: ~Alter v1.0.1 MIT-0 2 files body ≈ 1 152 tokens Open the sourceclawhub.ai analyzed 2 d ago

Covers posting a resting identity-trait order, listing and reading your own open orders, cancelling one, collecting priced fills over time as matching…

As a process D 43/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
A
96/100
safety, quality, tests
Safety 60%
100
Quality 40%
89
Run on models
none yet
Process rating
D
43/100
Unfinished process
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: 2. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    ✓ No remarks against the Agent Skills spec

    Process rating: all ten parameters 43/100

    • 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
    • 0Progress reporting. Says nothing while it works
    • 20When it triggers. No condition that starts the skill
    • 30Running it twice. 5 mutating operations with no state check
    • 60Tools and files. Uses tools (bash) that frontmatter does not declare
    • 100Steps. 9 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 1152 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

    • +4Description does not say when NOT to use the skill (false activations)
    • +3Output format is not stated: the model decides each time
    • +1No license
    • +2Single-language instructions
    • +5Description quotes 9 example trigger phrases
    • +3Description length 744: enough signal without eating the budget
    • +4Structure: 8 headings
    • +3Step-by-step instructions: 9 items
    • +4Has examples (0 code blocks)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 89.

    External checks

    ClawHub: clean
    This skill is a disclosed integration for managing opt-in identity-match standing orders, with the main cautions being sensitive identity data and small paid reveal calls.
    LLM: benign (high) · VirusTotal: · 9 Aug 2026