SKILLEMALL.ai

AF stock-direction-signals

Directional research brief on a US stock for agents on a MetaMask Agent Wallet — use when asked "is NVDA bullish or bearish right now", "directional read on AAPL", "is MAG7 sentiment turning", "what do the chart, news, and social say about AMD", "signal brief on SPY". Nine paid reads — quote, daily chart, RSI, MACD, news sentiment, earnings, Twitter/X chatter, Reddit threads, macro regime — fused into a bullish / bearish / mixed / insufficient-data brief with confidence, catalysts, and invalidation risks. Research only: never order execution, never financial advice. Pays in USDC from the user's own self-custodial MetaMask Agent Wallet; every signature stays in the wallet's mm CLI; no API keys. A run is nine purchases, so always dry-run first to see the live quoted total.

ClawHub Agent Skills author: SELAT-DEV v1.0.0 MIT-0 2 files body ≈ 1 599 tokens Open the sourceclawhub.ai analyzed 3 d ago

Directional research brief on a US stock for agents on a MetaMask Agent Wallet — use when asked "is NVDA bullish or bearish right now", "directional read on…

As a process F 33/100 · Will not run — References files that are not bundled: ../selat-capabilities-for-metamask/SKILL.md

IntegrationAI 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
F
33/100
Will not run
References files that are not bundled: ../selat-capabilities-for-metamask/SKILL.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 · 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: ../selat-capabilities-for-metamask/SKILL.md

Process rating: all ten parameters 33/100

Will not run. References files that are not bundled: ../selat-capabilities-for-metamask/SKILL.md
  • 0Tools and files. 1 referenced file(s) missing: ../selat-capabilities-for-metamask/SKILL.md
  • 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
  • 30Running it twice. 3 mutating operations with no state check
  • 40Consistency. Frontmatter name (stock-direction-signals) differs from the folder (stock-signal)
  • 55Failures and branches. 1 branches
  • 100Steps. 10 steps
  • 100Execution cost. Instruction body is 1599 tokens
  • 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

  • +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 5 example trigger phrases
  • +3Description length 781: enough signal without eating the budget
  • +4Structure: 8 headings
  • +3Step-by-step instructions: 10 items
  • +4Has examples (4 code blocks)

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

External checks

ClawHub: clean
This is a disclosed, research-only stock signal skill that can spend the user's USDC for paid data reads, but it requires dry-run pricing and user approval before wallet use.
LLM: benign (high) · VirusTotal: · 12 Aug 2026