SKILLEMALL.ai

BD aios-transfer-file

通过兼容 AWS S3 的 SDK 为 OpenClaw 和 AIOS agent 处理文件传输。当 agent 收到 `file_input://...` URI、需要按当前 `senderId` 把输入文件下载到工作区,或需要把当前 `senderId` 目录内的本地文件上传后以 `file_output://...` URI 返回给用户时,必须使用这个 skill。不要使用 `aws` CLI 或任何外部 S3 客户端程序完成这些传输。

ClawHub Agent Skills author: 宁伟 v1.0.1 MIT-0 7 files body ≈ 1 336 tokens Open the sourceclawhub.ai analyzed 4 d ago

As a process D 43/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

IntegrationAWSInfrastructureAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
B
87/100
safety, quality, tests
Safety 60%
95
Quality 40%
75
Run on models
none yet
Process rating
D
43/100
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

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 · 5

✓ No critical or high findings

Medium and low: 5
  • low Secrets in code secret-high-entropy-token package-lock.json:31
    High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
    "integrity": "sha512-+iWb8…YNf+ly5S…Rag==",
    detector
  • low Secrets in code secret-high-entropy-token package-lock.json:85
    High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
    "integrity": "sha5…wIN//F77/IADDSs58i+MDaO…jeo+YFg==",
    detector
  • low Secrets in code secret-high-entropy-token package-lock.json:247
    High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
    "integrity": "sha5…jVg+Kgft…36J/4jNiHb+7MmB…d1w==",
    detector
  • low Secrets in code secret-high-entropy-token package-lock.json:462
    High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
    "integrity": "sha5…Mvd+Ctzt…zAc+gcdp…nQg==",
    detector
  • low Secrets in code secret-high-entropy-token package-lock.json:596
    High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
    "integrity": "sha5…m6h+8fxa…RGE+eGAqTgJ+obO7Euo/pjM8…9DA==",
    detector

Files scanned: 7. 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")

Process rating: all ten parameters 43/100

  • 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. 27 mutating operations with no state check
  • 60Tools and files. Uses tools (bash, python, node) that frontmatter does not declare
  • 100Steps. 82 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1336 tokens
  • low The response is described with custom markup (19 tags): a typed call is more reliable

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 223: enough signal without eating the budget
  • +4Structure: 9 headings
  • +3Step-by-step instructions: 82 items
  • +4Has examples (1 code blocks)
  • +3All 1 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 75.

External checks

ClawHub: clean
This skill is a disclosed S3-based file transfer helper with clear senderId isolation and no evidence of hidden exfiltration or destructive behavior.
LLM: benign (high) · VirusTotal: · 9 Jul 2026