FF linkfox-amazon-ads
亚马逊广告(Amazon Ads)全链路一站式 AI 工具集,整合授权与令牌管理、SP/SB/SD 广告查询与创建修改、广告报告一站式获取 3 项子能力,覆盖授权→管理→报表全链路。
亚马逊广告(Amazon Ads)全链路一站式 AI 工具集,整合授权与令牌管理、SP/SB/SD 广告查询与创建修改、广告报告一站式获取 3 项子能力,覆盖授权→管理→报表全链路。
As a process F 33/100 · Will not run — References files that are not bundled: scripts/<auth|manager|report>/, references/report-types/<adProduct-dir>/<reportTypeId>.md, scripts/manager/sp/list_*.py
What is at stake
Medium-severity findings: the skill is probably honest, but read what alarmed the scanner.
Below is the worst case for this category. The finding here is medium: the guard saw a sign, not a proof.
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".
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
- Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
- The text references files that are not there: add them or drop the references.
- 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 · 39
✓ No critical or high findings
Medium and low: 39
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medium Exfiltration
net-credential-usereferences/linkfox-amazon-ads-auth.md:312Credential used in a network call (verify the destination is the intended service)curl -X POST $BASE/amazonAds/authorizeUrl -H "Authorization: $KEY" \
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medium Exfiltration
net-credential-usereferences/linkfox-amazon-ads-auth.md:317Credential used in a network call (verify the destination is the intended service)curl -X POST $BASE/amazonAds/authorizedStores -H "Authorization: $KEY" \
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medium Exfiltration
net-credential-usereferences/linkfox-amazon-ads-auth.md:321Credential used in a network call (verify the destination is the intended service)curl -X POST $BASE/amazonAds/profiles -H "Authorization: $KEY" \
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medium Exfiltration
net-credential-usereferences/linkfox-amazon-ads-auth.md:325Credential used in a network call (verify the destination is the intended service)curl -X POST $BASE/amazonAds/refreshToken -H "Authorization: $KEY" \
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medium Exfiltration
net-credential-usereferences/linkfox-amazon-ads-auth.md:329Credential used in a network call (verify the destination is the intended service)curl -X POST $BASE/amazonAds/storeTokens -H "Authorization: $KEY" \
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medium Exfiltration
net-redirectable-api-keyscripts/auth/authorize_url.py:23Helper sends the API key to a host configured by an environment variable — the key can be redirected to another serverAPI key + configurable base URL from environment
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medium Exfiltration
net-redirectable-api-keyscripts/auth/authorized_stores.py:19Helper sends the API key to a host configured by an environment variable — the key can be redirected to another serverAPI key + configurable base URL from environment
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medium Exfiltration
net-redirectable-api-keyscripts/auth/profiles.py:20Helper sends the API key to a host configured by an environment variable — the key can be redirected to another serverAPI key + configurable base URL from environment
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medium Exfiltration
net-redirectable-api-keyscripts/auth/refresh_token.py:20Helper sends the API key to a host configured by an environment variable — the key can be redirected to another serverAPI key + configurable base URL from environment
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medium Exfiltration
net-redirectable-api-keyscripts/auth/store_tokens.py:20Helper sends the API key to a host configured by an environment variable — the key can be redirected to another serverAPI key + configurable base URL from environment
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low Secrets in code
secret-high-entropy-tokenreferences/linkfox-amazon-ads-auth.md:141High-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 -
low Dangerous commands
cmd-shell-rcreferences/onboarding.md:13Writes 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-rcreferences/onboarding.md:14Writes 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-tokenreferences/report-types/sb/sbAdGroup.md:71High-entropy token-like string (may be an id, hash or a credential)| kind…14d |
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low Secrets in code
secret-high-entropy-tokenreferences/report-types/sb/sbAdGroup.md:72High-entropy token-like string (may be an id, hash or a credential)| kind…14d |
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low Secrets in code
secret-high-entropy-tokenreferences/report-types/sb/sbAds.md:68High-entropy token-like string (may be an id, hash or a credential)| kind…14d |
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low Secrets in code
secret-high-entropy-tokenreferences/report-types/sb/sbAds.md:69High-entropy token-like string (may be an id, hash or a credential)| kind…14d |
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low Secrets in code
secret-high-entropy-tokenreferences/report-types/sb/sbCampaignPlacement.md:65High-entropy token-like string (may be an id, hash or a credential)| kind…14d |
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low Secrets in code
secret-high-entropy-tokenreferences/report-types/sb/sbCampaignPlacement.md:66High-entropy token-like string (may be an id, hash or a credential)| kind…14d |
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low Secrets in code
secret-high-entropy-tokenreferences/report-types/sb/sbCampaigns.md:68High-entropy token-like string (may be an id, hash or a credential)| kind…14d |
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low Secrets in code
secret-high-entropy-tokenreferences/report-types/sb/sbCampaigns.md:69High-entropy token-like string (may be an id, hash or a credential)| kind…14d |
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low Secrets in code
secret-high-entropy-tokenreferences/report-types/sb/sbPurchasedProduct.md:54High-entropy token-like string (may be an id, hash or a credential)| newT…14d |
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low Secrets in code
secret-high-entropy-tokenreferences/report-types/sb/sbPurchasedProduct.md:55High-entropy token-like string (may be an id, hash or a credential)| newT…14d |
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low Secrets in code
secret-high-entropy-tokenreferences/report-types/sb/sbPurchasedProduct.md:56High-entropy token-like string (may be an id, hash or a credential)| newT…14d |
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low Secrets in code
secret-high-entropy-tokenreferences/report-types/sb/sbPurchasedProduct.md:58High-entropy token-like string (may be an id, hash or a credential)| kind…14d |
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low Secrets in code
secret-high-entropy-tokenreferences/report-types/sb/sbPurchasedProduct.md:59High-entropy token-like string (may be an id, hash or a credential)| kind…14d |
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low Secrets in code
secret-high-entropy-tokenreferences/report-types/sb/sbSearchTerm.md:65High-entropy token-like string (may be an id, hash or a credential)| kind…14d |
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low Secrets in code
secret-high-entropy-tokenreferences/report-types/sb/sbSearchTerm.md:66High-entropy token-like string (may be an id, hash or a credential)| kind…14d |
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low Secrets in code
secret-high-entropy-tokenreferences/report-types/sp/spAdvertisedProduct.md:85High-entropy token-like string (may be an id, hash or a credential)| kind…14d |
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low Secrets in code
secret-high-entropy-tokenreferences/report-types/sp/spAdvertisedProduct.md:86High-entropy token-like string (may be an id, hash or a credential)| kind…14d |
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low Secrets in code
secret-high-entropy-tokenreferences/report-types/sp/spCampaigns.md:75High-entropy token-like string (may be an id, hash or a credential)| kind…14d |
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low Secrets in code
secret-high-entropy-tokenreferences/report-types/sp/spCampaigns.md:76High-entropy token-like string (may be an id, hash or a credential)| kind…14d |
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low Secrets in code
secret-high-entropy-tokenreferences/report-types/sp/spPurchasedProduct.md:79High-entropy token-like string (may be an id, hash or a credential)| kind…14d |
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low Secrets in code
secret-high-entropy-tokenreferences/report-types/sp/spPurchasedProduct.md:80High-entropy token-like string (may be an id, hash or a credential)| kind…14d |
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low Secrets in code
secret-high-entropy-tokenreferences/report-types/sp/spSearchTerm.md:71High-entropy token-like string (may be an id, hash or a credential)| kind…14d |
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low Secrets in code
secret-high-entropy-tokenreferences/report-types/sp/spSearchTerm.md:72High-entropy token-like string (may be an id, hash or a credential)| kind…14d |
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low Secrets in code
secret-high-entropy-tokenreferences/report-types/sp/spTargeting.md:78High-entropy token-like string (may be an id, hash or a credential)| kind…14d |
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low Secrets in code
secret-high-entropy-tokenreferences/report-types/sp/spTargeting.md:79High-entropy token-like string (may be an id, hash or a credential)| kind…14d |
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low Secrets in code
secret-high-entropy-tokenscripts/auth/authorize_url.py:109High-entropy token-like string (may be an id, hash or a credential)# Amazon 返回 400 Steg…ion。
Files scanned: 80. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
frontmatter-yamlSKILL.md: the frontmatter is not valid YAML (YAML parse error: Nested mappings are not allowed in compact mappings at line 6, column 17: description_en: One-stop Amazon Ads AI toolkit integrating 3 sub-capabilities a… ^ ); fields were read line by line. The usual cause is a colon inside an unquoted value - warning
description-no-whendescription does not say WHEN to use the skill (no "use when") - warning
missing-refreference to a missing file: scripts/<auth|manager|report>/ - warning
missing-refreference to a missing file: references/report-types/<adProduct-dir>/<reportTypeId>.md - warning
missing-refreference to a missing file: scripts/manager/sp/list_*.py - warning
missing-refreference to a missing file: scripts/manager/<sp\|sb\|sd>/create_*.py - warning
missing-refreference to a missing file: scripts/manager/<sp\|sb\|sd>/create_budget_rules.py - warning
missing-refreference to a missing file: scripts/report/get_report.py - warning
missing-refreference to a missing file: references/report-types/<sp|sb|sd>/<reportTypeId>.md - warning
missing-refreference to a missing file: scripts/manager/sp/list_campaigns.py - warning
missing-refreference to a missing file: references/linkfox-amazon-ads-<auth|manager|report>.md - warning
missing-refreference to a missing file: references/api/{sp,sb,sd}.md - note
frontmatter-keyunknown frontmatter key "display_name" - note
frontmatter-keyunknown frontmatter key "display_name_en" - note
frontmatter-keyunknown frontmatter key "description_zh" - note
frontmatter-keyunknown frontmatter key "description_en"
Process rating: all ten parameters 33/100
- 0Tools and files. 10 referenced file(s) missing: scripts/<auth|manager|report>/, references/report-types/<adProduct-dir>/<reportTypeId>.md, scripts/manager/sp/list_*.py
- 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
- 100Steps. 31 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 3638 tokens
- low The response is described with custom markup (11 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)
- +3Description length 91: 120–800 characters recommended
- +3Output format is not stated: the model decides each time
- +1No license
- +2Single-language instructions
- +4Structure: 16 headings
- +3Step-by-step instructions: 31 items
- +4Has examples (10 code blocks)
- +4Reference files are cited in the instructions (4 of 4)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 48.