SKILLEMALL.ai

AC hookaido

Webhook infrastructure for receiving, queuing, and delivering webhooks. Operate Hookaido webhook ingress, durable webhook queue (SQLite/Postgres), webhook delivery (HTTP push, subprocess exec, pull API, SSE streaming), webhook signature verification (HMAC, GitHub, Gitea, Stripe, Cituro), dead-letter queue, and webhook retry policies. Use when tasks involve webhook endpoint configuration (Hookaidofile), webhook queue backends (sqlite, memory, postgres), hookaido CLI (run, config fmt, config validate, mcp serve), webhook consumption (dequeue/ack/nack/extend) over HTTP, SSE, or gRPC, subprocess webhook handlers (deliver exec), webhook provider HMAC (GitHub/Gitea/Stripe/Cituro), Admin API webhook backlog/DLQ triage, or production webhook hardening.

ClawHub Agent Skills author: Sebastian Gieseler v2.6.0 MIT-0 8 files · 2 scripts body ≈ 2 369 tokens Open the sourceclawhub.ai analyzed 2 d ago

As a process C 56/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions

IntegrationGitHubPostgreSQLStripeInfrastructureSoftware developmentAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
A
93/100
safety, quality, tests
Safety 60%
100
Quality 40%
83
Run on models
none yet
Process rating
C
56/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
Progress reporting w 2
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: 8. 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 56/100

    • 0Result and completion. Does not say what the result is
    • 0Inputs and preconditions. Does not say what the process needs to start
    • 0Progress reporting. Says nothing while it works
    • 20When it triggers. No condition that starts the skill
    • 60Tools and files. Uses tools (bash, web) that frontmatter does not declare
    • 100Steps. 73 steps
    • 100Failures and branches. 1 branches, has a failure section
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 2369 tokens
    • 100Running it twice. Mutating operations check current state
    • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing

    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
    • -2localhost URLs: will not work for another user
    • -31 of 2 scripts are never mentioned in SKILL.md
    • +1No license
    • +2Single-language instructions
    • +3Description length 754: enough signal without eating the budget
    • +4Structure: 17 headings
    • +3Step-by-step instructions: 73 items
    • +4Has examples (8 code blocks)
    • +4Reference files are cited in the instructions (1 of 1)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 83.

    External checks

    ClawHub: clean
    This is a coherent Hookaido operations skill with disclosed install, webhook, queue, and MCP features; its risks are operational rather than deceptive.
    LLM: benign (high) · VirusTotal: benign · 28 May 2026