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BD ima

腾讯 IMA OpenAPI 技能（笔记 + 知识库）。当用户提到知识库、资料库、笔记、备忘录、记事， 或者想上传文件到知识库、添加网页/微信文章到知识库、搜索知识库内容、搜索/浏览/创建/编辑 笔记时，使用此 skill。即使用户没有明确说"知识库"或"笔记"，只要意图涉及文件上传到 知识库、网页收藏、知识搜索、个人文档存取（"帮我记一下"、"搜一下知识库里有没有XX"）， 也应触发此 skill。

ClawHub Hermes author: wat2012 v1.0.2 MIT-0 22 files · 1 script body ≈ 7 151 tokens Open the sourceclawhub.ai↗ analyzed 31 h ago

腾讯 IMA OpenAPI 技能（笔记 + 知识库）。当用户提到知识库、资料库、笔记、备忘录、记事， 或者想上传文件到知识库、添加网页/微信文章到知识库、搜索知识库内容、搜索/浏览/创建/编辑 笔记时，使用此 skill。即使用户没有明确说"知识库"或"笔记"，只要意图涉及文件上传到…

As a process D 41/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

IntegrationSoftware developmentAI and agentstype and topics are labelled automatically from the skill text
Runs in: OpenClaw Hermes Agent
JSON
Technical rating
B
77/100
safety, quality, tests
Safety 60%
92
Quality 40%
54
Run on models
none yet
Process rating
D
41/100
Unfinished process
Result and completion w 14
0
Inputs and preconditions w 11
0
Consistency w 8
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.

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. For Hermes the description must be one sentence under 60 characters; move the conditions to a "When to Use" section.
  3. The SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
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 · 4

✓ No critical or high findings

Medium and low: 4
  • medium Exfiltration net-redirectable-api-key ima_api.cjs:141
    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
  • low Broad scope meta-dynamic-shell SKILL.md:229
    Shell command executed automatically when the skill loads (Claude Code !`cmd` preamble)
    !`if [ -n "$IMA_OPENAPI_CLIENTID" ] && [ -n "$IMA_OPENAPI_APIKEY" ]; then echo "✅ Credentials configured (env vars)"; elif test -f ~/.config/ima/client_id && test -f ~/.config/ima/api_key; then echo "
  • low Broad scope meta-dynamic-shell SKILL.md:235
    Shell command executed automatically when the skill loads (Claude Code !`cmd` preamble)
    !`if [ -n "$IMA_OPENAPI_CLIENTID" ] && [ -n "$IMA_OPENAPI_APIKEY" ]; then echo "✅ Credentials configured (env vars)"; elif [ -f ~/.config/ima/client_id ] && [ -f ~/.config/ima/api_key ]; then echo "✅
  • low Exfiltration read-dotenv SKILL.md:324
    Reads a .env file (detector / deny-list definition)
    - 看到"凭证缺"信号 → **先**用 `env | grep IMA` + `cat ~/.hermes/.env | grep -i ima` 跑实测，**再**下结论
    detector

Files scanned: 22. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-long-hermes description is 203 chars; the Hermes authoring standard requires ≤ 60 (one sentence, ending with a period)
  • warning description-no-when neither description nor a "## When to Use" section says when to use the skill
  • warning body-long SKILL.md body ≈ 7151 tokens (recommended < 5000); move details to references/
  • note frontmatter-key unknown frontmatter key "homepage"
  • note frontmatter-key unknown frontmatter key "source"
  • note frontmatter-key unknown frontmatter key "upstream"
  • note frontmatter-key unknown frontmatter key "status"
  • note frontmatter-key unknown frontmatter key "roadmap"

Process rating: all ten parameters 41/100

  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Consistency. Frontmatter name (ima) differs from the folder (tencent-ima-hermes)
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 10 mutating operations with no state check
  • 50Failures and branches. 0 branches, has a failure section
  • 60Tools and files. Uses tools (bash, web, python, node) that frontmatter does not declare
  • 70Execution cost. Instruction body is 7151 tokens
  • 100Steps. 24 steps
  • 100Progress reporting. Reports progress

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
  • -4Absolute local paths (C:\Users, /home/…): not portable
  • -215 emoji in the instructions: noise for the model
  • +1No license
  • +2Single-language instructions
  • +3Description length 202: enough signal without eating the budget
  • +4Structure: 17 headings
  • +3Step-by-step instructions: 24 items
  • +4Has examples (18 code blocks)
  • +4Reference files are cited in the instructions (5 of 5)
  • +3All 1 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 54.

External checks

ClawHub: suspicious
This skill mostly matches its IMA notes and knowledge-base purpose, but it grants sensitive note/file access and has under-scoped credential, routing, and unofficial-automation guidance that users should review carefully.
LLM: suspicious (high) · VirusTotal: · 5 Jun 2026