SKILLEMALL.ai

AB market-briefing

Scheduled market intelligence briefing workflow for A-shares, HK stocks, US markets, macro policy, and geopolitical news. Activate when: (1) running as a cron/scheduled job to push hourly market updates, (2) user asks to collect or summarize market news, (3) user mentions A股, 港股, 恒指, 特朗普, 地缘政治, 军事, or related investing topics. Delivers time-aware briefings (morning/intraday incremental/closing) with deduplication. Uses Tavily Search via mcporter + web_fetch fallback, delivers via Feishu message tool. NOT for: deep financial modeling, backtesting, or individual stock analysis unrelated to news collection.

ClawHub Agent Skills author: fishisnow v1.0.0 MIT-0 4 files body ≈ 994 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process B 74/100 · Nearly there — weak spots: result and completion, running it twice

ProcedureInfrastructureWriting and documentstype and topics are labelled automatically from the skill text
JSON
Technical rating
A
91/100
safety, quality, tests
Safety 60%
100
Quality 40%
78
Run on models
none yet
Process rating
B
74/100
Nearly there
Result and completion w 14
0
Running it twice w 4
30
When it triggers w 12
50
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: Scheduled market intelligence briefing workflow for A-shares, HK s… ^ ); fields were read line by line. The usual cause is a colon inside an unquoted value

    Process rating: all ten parameters 74/100

    • 0Result and completion. Does not say what the result is
    • 30Running it twice. 6 mutating operations with no state check
    • 50When it triggers. No condition that starts the skill
    • 70Inputs and preconditions. Inputs and preconditions are listed
    • 100Tools and files. No external tools needed
    • 100Steps. 10 steps
    • 100Failures and branches. 1 branches, has a failure section
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 994 tokens
    • 100Progress reporting. Reports progress
    • low 11 top-level sections: this looks like several domains in one skill

    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
    • -4Absolute local paths (C:\Users, /home/…): not portable
    • +1No license
    • +2Single-language instructions
    • +4Description says when NOT to use the skill
    • +3Description length 611: enough signal without eating the budget
    • +4Structure: 12 headings
    • +3Step-by-step instructions: 10 items
    • +4Has examples (4 code blocks)
    • +4Reference files are cited in the instructions (2 of 2)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 78.

    External checks

    ClawHub: clean
    This is a disclosed market-news briefing skill that searches public sources, keeps a small deduplication log, and can send configured Feishu updates.
    LLM: benign (high) · VirusTotal: · 29 May 2026