BC trump-sentiment
Trump 舆情分析 Skill。通过多渠道覆盖（Truth Social/X搜索/Google News实时/大V主页）捕获 Trump 言行，结合市场反应验证，辅助投资决策。触发：「/trump」「分析Trump舆情」。📢微信公众号：PM熊叔（打造一人公司的投研团队）
As a process C 53/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions
Proceduretype and topics are labelled automatically from the skill text
How to improve
- Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
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 · 6
✓ No critical or high findings
Medium and low: 6
-
low Obfuscation
obf-base64-blobdata/forced_run_20260405_0309.json:14Long base64-looking blob (quoted — discussed, not commanded)"link": "https://news.google.com/rss/articles/CBMi…RIR
quoted -
low Obfuscation
obf-base64-blobdata/forced_run_20260405_0309.json:21Long base64-looking blob (detector / deny-list definition)"link": "https://news.google.com/rss/articles/CBMi…BrN
detector -
low Obfuscation
obf-base64-blobdata/forced_run_20260405_0309.json:28Long base64-looking blob (quoted — discussed, not commanded)"link": "https://news.google.com/rss/articles/CBMi…RaU
quoted -
low Obfuscation
obf-base64-blobdata/forced_run_20260405_0309.json:35Long base64-looking blob (quoted — discussed, not commanded)"link": "https://news.google.com/rss/articles/CBMi…VtV
quoted -
low Obfuscation
obf-base64-blobdata/forced_run_20260405_0309.json:42Long base64-looking blob (quoted — discussed, not commanded)"link": "https://news.google.com/rss/articles/CBMi…N0V
quoted -
low Secrets in code
secret-high-entropy-tokeninput_data.json:117High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)"url": "https://en.wikipedia.org/wiki/2025%E2%80%932026_Iran%E2%80%93Un…ons",
detector
Files scanned: 80. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
description-no-whendescription does not say WHEN to use the skill (no "use when")
Process rating: all ten parameters 53/100
- 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
- 100Tools and files. No external tools needed
- 100Steps. 42 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1076 tokens
- 100Running it twice. No mutating operations
- low 12 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
- +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
- +3Description length 137: enough signal without eating the budget
- +4Structure: 19 headings
- +3Step-by-step instructions: 42 items
- +4Has examples (4 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 72.
External checks
ClawHub: suspicious
The skill is a coherent Trump-market monitoring tool, but it has under-scoped automated reporting, external Feishu delivery, investment guidance risks, and mismatched high-impact permission metadata.
LLM: suspicious (high) · VirusTotal: · 29 May 2026