SKILLEMALL.ai

BF baidu-map-webapi

百度地图 webapi 开发指南。在编写、审查或调试使用百度地图webAPI的代码时应运用此技能,也适用于直接调用百度地图API获取结果的场景。涵盖:地图位置搜索、POI检索、路线规划、建议出发时间、路线耗时预测、实时路况、行政区划查询、地址坐标转换、沿途交通事件、天气查询、智能推荐上车点等。当用户提及出发时间、导航路线、地点查询、坐标转换、地图相关开发需求时自动触发。

ClawHub Agent Skills author: 百度地图 v1.0.8 MIT-0 32 files body ≈ 1 145 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process F 35/100 · Will not run — References files that are not bundled: references/geocoding, references/administrative_region_search, references/address_to_poi.md

ProcedureInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
B
84/100
safety, quality, tests
Safety 60%
98
Quality 40%
63
Run on models
none yet
Process rating
F
35/100
Will not run
References files that are not bundled: references/geocoding, references/administrative_region_search, references/address_to_poi.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. 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 Secrets in code secret-high-entropy-token references/admin_division_query.md:19
    High-entropy token-like string (may be an id, hash or a credential)
    | ak | string | T | - | 开发者密钥,即API Key,用于身份验证和配额管理。 | E480…045 |
  • low Secrets in code secret-high-entropy-token references/domestic_weather_query.md:24
    High-entropy token-like string (may be an id, hash or a credential)
    | ak | string | T | - | 开发者密钥,在API控制台申请获得。 | hhR4…Doq |

Files scanned: 32. 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: references/geocoding
  • warning missing-ref reference to a missing file: references/administrative_region_search
  • warning missing-ref reference to a missing file: references/address_to_poi.md
  • note frontmatter-key unknown frontmatter key "homepage"
  • note frontmatter-key unknown frontmatter key "repository"

Process rating: all ten parameters 35/100

Will not run. References files that are not bundled: references/geocoding, references/administrative_region_search, references/address_to_poi.md
  • 0Tools and files. 3 referenced file(s) missing: references/geocoding, references/administrative_region_search, references/address_to_poi.md
  • 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
  • 100Steps. 53 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1145 tokens
  • 100Running it twice. No mutating operations

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
  • +2Single-language instructions
  • +3Description length 186: enough signal without eating the budget
  • +4Structure: 25 headings
  • +3Step-by-step instructions: 53 items
  • +4Has examples (3 code blocks)
  • +4Reference files are cited in the instructions (17 of 17)
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 63.

External checks

ClawHub: clean
This is a coherent Baidu Maps API guide that requires a Baidu API key and sends location-related inputs to Baidu, with no evidence of hidden execution or persistence.
LLM: benign (high) · VirusTotal: · 1 Jun 2026