SKILLEMALL.ai

AF abra

Operate the abracadabra local secrets vault (abra CLI, abra serve, abra MCP) only when the user names abracadabra or abra, the abracadabra MCP is registered, or ABRA_KEY is already set for this project. Covers discovering key names, reading secrets the human has scoped to this agent (issued abra key or Touch ID grant), key issue/scope/revoke, health checks, keygen/connectors, USB/LAN sync, cartridge checkpoints, and treasury USDC payments (Touch ID). Do not use for generic env var, API token, wallet, or SSH key questions, or for other vaults or .env files. Never print secret values in chat.

ClawHub Agent Skills author: userDef@ult v1.0.9 MIT-0 2 files body ≈ 4 698 tokens Open the sourceclawhub.ai analyzed 3 d ago

Operate the abracadabra local secrets vault (abra CLI, abra serve, abra MCP) only when the user names abracadabra or abra, the abracadabra MCP is registered…

As a process F 61/100 · Will not run — References files that are not bundled: ../../README.agents.md, ../../AGENTS.md, ../../README.md

IntegrationAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
A
90/100
safety, quality, tests
Safety 60%
100
Quality 40%
74
Run on models
none yet
Process rating
F
61/100
Will not run
References files that are not bundled: ../../README.agents.md, ../../AGENTS.md, ../../README.md
Tools and files w 18
0
Result and completion w 14
0
Inputs and preconditions w 11
70
the three weakest of ten parameters · all ten
This is a copy of a skill from another catalog; the rating counts the canonical one: abra (ClawHub)

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

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: ../../README.agents.md
  • warning missing-ref reference to a missing file: ../../AGENTS.md
  • warning missing-ref reference to a missing file: ../../README.md

Process rating: all ten parameters 61/100

Will not run. References files that are not bundled: ../../README.agents.md, ../../AGENTS.md, ../../README.md
  • 0Tools and files. 3 referenced file(s) missing: ../../README.agents.md, ../../AGENTS.md, ../../README.md
  • 0Result and completion. Does not say what the result is
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 70Execution cost. Instruction body is 4698 tokens
  • 85Steps. 51 steps, 2 vague phrases
  • 100When it triggers. States when to use and when not to
  • 100Failures and branches. 2 branches, has a failure section
  • 100Consistency. Name and required fields are in place
  • 100Running it twice. Mutating operations check current state
  • 100Progress reporting. Reports progress
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
  • low 18 top-level sections: this looks like several domains in one skill
  • high The skill tells the model to perform an irreversible action with no human approval

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
  • -2localhost URLs: will not work for another user
  • +1No license
  • +2Single-language instructions
  • +4Description says when NOT to use the skill
  • +3Description length 597: enough signal without eating the budget
  • +4Structure: 26 headings
  • +3Step-by-step instructions: 51 items
  • +4Has examples (15 code blocks)

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

External checks

ClawHub: clean
The skill handles sensitive vault secrets, but its instructions are coherent, explicit about human grants, and mostly scoped to safe secret handling.
LLM: benign (high) · VirusTotal: · 8 Sept 2026