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BD ima.plus-skill-1.0.8

IMA.plus 技能（V1.0.8）——笔记管理与知识库操作。支持自然语言目录路径（--path 自动解析知识库/文件夹/笔记本，无需 kb_id，解析结果分层缓存零重复调用）、上传/导出文件、打包导出知识库为 zip、创建文件夹、移动/重命名/置顶知识条目、创建与修改知识库、标签管理、权限管理、广场发现、添加网页到知识库、搜索/浏览/创建/编辑笔记。凭证单一来源：环境变量 IMA_OPENAPI_CLIENTID / IMA_OPENAPI_APIKEY（强制设置，不设置无法使用）；缓存位置 IMA_RESOLVE_CACHE（非 ima.copilot 环境强制）。

ClawHub Agent Skills author: wxy v1.0.8 MIT-0 34 files body ≈ 3 731 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

IMA.plus 技能（V1.0.8）——笔记管理与知识库操作。支持自然语言目录路径（--path 自动解析知识库/文件夹/笔记本，无需 kbid，解析结果分层缓存零重复调用）、上传/导出文件、打包导出知识库为…

As a process D 44/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

IntegrationSoftware developmenttype 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
82/100
safety, quality, tests
Safety 60%
90
Quality 40%
69
Run on models
none yet
Process rating
D
44/100
Unfinished process
Result and completion w 14
0
Inputs and preconditions w 11
0
Failures and branches w 10
0
the three weakest of ten parameters · all ten

What is at stake

Medium-severity findings: the skill is probably honest, but read what alarmed the scanner.

Exfiltration medium severity

Below is the worst case for this category. The finding here is medium: the guard saw a sign, not a proof.

If you install

The instructions or scripts send data out: environment variables, keys, file contents, chat history. You may never notice, because the agent performs the upload as "part of the task".

For the author

If the upload is not needed for the task, remove it: catalogs flag such skills and delist them. If it is needed, name the destination explicitly, say what leaves the machine, and give the user a switch.

Broad scope medium severity

Below is the worst case for this category. The finding here is medium: the guard saw a sign, not a proof.

If you install

The skill asks for more than the task needs: broad tool access, credential environment variables, binaries. Every extra permission widens the damage from a mistake or a compromise.

For the author

Narrow allowed-tools and the variable list to the minimum; replace binaries with readable sources or scripts.

How to improve

  1. 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 · 2

✓ No critical or high findings

Medium and low: 2
  • medium Exfiltration net-redirectable-api-key ima_api.cjs:71
    Helper sends the API key to a host configured by an environment variable — the key can be redirected to another server
    API key + configurable base URL from environment
  • medium Broad scope meta-broad-allowed-tools SKILL.md:1
    Broad tool permissions pre-approved: Bash
    allowed-tools: Bash Read

Files scanned: 6. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning name-format name should be kebab-case (lowercase letters, digits, hyphens)
  • warning description-no-when description does not say WHEN to use the skill (no "use when")

Process rating: all ten parameters 44/100

  • 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
  • 30Running it twice. 8 mutating operations with no state check
  • 40Consistency. Frontmatter name (ima.plus-skill-1.0.8) differs from the folder (ima-plus-skill)
  • 85Steps. 33 steps, 1 vague phrases
  • 100Tools and files. Tools declared in frontmatter
  • 100Execution cost. Instruction body is 3731 tokens

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
  • -215 emoji in the instructions: noise for the model
  • +1No license
  • +2Single-language instructions
  • +3Description length 289: enough signal without eating the budget
  • +4Structure: 22 headings
  • +3Step-by-step instructions: 33 items
  • +4Has examples (12 code blocks)
  • +4Reference files are cited in the instructions (1 of 1)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 69.

External checks

ClawHub: suspicious
The skill is mostly coherent for IMA note and knowledge-base management, but it asks users to expose reusable API credentials from another copilot session and grants broad write/export authority over private content.
LLM: suspicious (high) · 19 Aug 2026