SKILLEMALL.ai

DD linkfox-amazon-ads-auth

亚马逊广告(Amazon Ads)店铺授权与管理技能,提供完整的授权流程、已绑定账号与站点的查询、令牌刷新与读取等能力。发起授权链接时需要先向用户确认一个账号名称;一次授权即可自动发现并绑定同账号下所有可用站点的广告 profile(每个站点对应一个 profileId)。当用户提到亚马逊广告授权、Amazon Ads 授权、绑定广告账户、刷新广告令牌、查询 profile 列表、管理已授权广告账户、Amazon Advertising authorization, Ads token refresh, list profiles, ad account management时触发此技能。即使未明确提及"Amazon Ads"或"授权",只要涉及亚马逊广告账号绑定、访问令牌管理或广告 profile 列表查询,也应触发。

Not recommendedlow grade D
ClawHub Agent Skills author: linkfox-ai v1.0.7 MIT-0 12 files body ≈ 1 132 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process D 46/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
D
55/100
safety, quality, tests
Safety 60%
45
Quality 40%
69
Run on models
none yet
Process rating
D
46/100
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.

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 · 15

✓ No critical or high findings

Medium and low: 15
  • medium Exfiltration net-credential-use references/api.md:161
    Credential used in a network call (verify the destination is the intended service)
    curl -X POST $BASE/amazonAds/authorizeUrl -H "Authorization: $KEY" \
  • medium Exfiltration net-credential-use references/api.md:166
    Credential used in a network call (verify the destination is the intended service)
    curl -X POST $BASE/amazonAds/authorizedStores -H "Authorization: $KEY" \
  • medium Exfiltration net-credential-use references/api.md:170
    Credential used in a network call (verify the destination is the intended service)
    curl -X POST $BASE/amazonAds/profiles -H "Authorization: $KEY" \
  • medium Exfiltration net-credential-use references/api.md:174
    Credential used in a network call (verify the destination is the intended service)
    curl -X POST $BASE/amazonAds/refreshToken -H "Authorization: $KEY" \
  • medium Exfiltration net-credential-use references/api.md:178
    Credential used in a network call (verify the destination is the intended service)
    curl -X POST $BASE/amazonAds/storeTokens -H "Authorization: $KEY" \
  • medium Exfiltration net-redirectable-api-key scripts/authorize_url.py:23
    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 Exfiltration net-redirectable-api-key scripts/authorized_stores.py:19
    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 Exfiltration net-redirectable-api-key scripts/profiles.py:20
    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 Exfiltration net-redirectable-api-key scripts/refresh_token.py:21
    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 Exfiltration net-redirectable-api-key scripts/store_tokens.py:21
    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 Dangerous commands cmd-shell-rc references/onboarding.md:13
    Writes to a shell startup file (quoted — discussed, not commanded)
    - macOS zsh:`echo 'export LINKFOX_AGENT_API_KEY="<key>"' >> ~/.zshrc && source ~/.zshrc`
    quoted
  • low Dangerous commands cmd-shell-rc references/onboarding.md:14
    Writes to a shell startup file (detector / deny-list definition)
    - Linux bash:`echo 'export LINKFOX_AGENT_API_KEY="<key>"' >> ~/.bashrc && source ~/.bashrc`
    detector
  • low Secrets in code secret-high-entropy-token scripts/authorize_url.py:109
    High-entropy token-like string (may be an id, hash or a credential)
    # Amazon 返回 400 Steg…ion。
  • low Secrets in code secret-high-entropy-token scripts/onboarding.py:49
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    or "eyJh…iJ9")
    quoted
  • low Secrets in code secret-high-entropy-token SKILL.md:102
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    现象:URL 里 `client_id` 中间出现空格 / `+`,Amazon 报 `Steg…ion`。
    quoted

Files scanned: 12. 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 46/100

  • 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
  • 60Tools and files. Uses tools (python) that frontmatter does not declare
  • 100Steps. 31 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1132 tokens
  • 100Running it twice. No mutating operations
  • low 10 top-level sections: this looks like several domains in one skill
  • low The response is described with custom markup (8 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
  • +4No input/output examples
  • -33 of 8 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +3Description length 365: enough signal without eating the budget
  • +4Structure: 18 headings
  • +3Step-by-step instructions: 31 items
  • +4Reference files are cited in the instructions (2 of 2)

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

External checks

ClawHub: suspicious
The skill’s Amazon Ads authorization functions are mostly coherent, but it also includes sensitive LinkFox account, API key, billing, feedback, and broad persistence behaviors that deserve manual review before installation.
LLM: suspicious (high) · 14 Aug 2026