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BF bond-information

债券资讯与信用风险监测技能。基于 FEEDAX API 查询债券市场相关新闻资讯，支持按债券类型（城投债/公司债/企业债/金融债等）、情感倾向、时间范围筛选，提供债券违约风险监测、信用评级追踪、发行人舆情分析等专业功能。 使用场景：用户监测债券违约风险、追踪城投债舆情、分析公司债信用状况、查询特定债券新闻、评估债券发行人风险、了解债券市场动态、进行债券投资风险预警等。 触发示例："查询城投债最新舆情"、"某公司债券违约风险"、"20 万科 01 债券新闻"、"近期债券违约事件"、"城投债负面消息"、"公司债信用评级变化"、"债券发行人舆情"等。 支持按债券类型筛选，按情感倾向过滤，返回债券名称、发行人、情感得分、相关性分析等多维度数据。

ClawHub Agent Skills author: longGGGGGG v1.0.0 MIT-0 5 files body ≈ 2 704 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

As a process F 33/100 · Will not run — References files that are not bundled: scripts/config.json

IntegrationInfrastructuretype and topics are labelled automatically from the skill text
Runs in: OpenClaw Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) Goose OpenCode
JSON
Technical rating
B
88/100
safety, quality, tests
Safety 60%
98
Quality 40%
74
Run on models
none yet
Process rating
F
33/100
Will not run
References files that are not bundled: scripts/config.json
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. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
  2. 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 · 2

✓ No critical or high findings

Medium and low: 2
  • low Exfiltration read-dotenv SKILL.md:26
    Reads a .env file
    cat .env
  • low Exfiltration read-dotenv SKILL.md:572
    Reads a .env file
    cat .env | grep FEEDAX_API_KEY

Files scanned: 5. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-no-when description does not say WHEN to use the skill (no "use when")
  • warning missing-ref reference to a missing file: scripts/config.json

Process rating: all ten parameters 33/100

Will not run. References files that are not bundled: scripts/config.json
  • 0Tools and files. 1 referenced file(s) missing: scripts/config.json
  • 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
  • 30Running it twice. 10 mutating operations with no state check
  • 100Steps. 63 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 2704 tokens
  • low 15 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

  • +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 7 example trigger phrases
  • +3Description length 325: enough signal without eating the budget
  • +4Structure: 54 headings
  • +3Step-by-step instructions: 63 items
  • +4Has examples (14 code blocks)
  • +3All 1 scripts are documented

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

External checks

ClawHub: suspicious
The skill’s bond-news function is coherent, but its credential handling and default data retention are risky enough to require Review before installation.
LLM: suspicious (high) · VirusTotal: · 29 May 2026