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CD linkfox-amazon-store-fulfillment-inbound

亚马逊 FBA 入仓与 Fulfillment Inbound 全流程管理。用于创建和管理 inbound plan，处理装箱、placement、shipment、货件内容更新、送达窗口、自配送预约、运输方案、商品合规、预处理、箱唛标签、提单及异步操作状态。用户提到 FBA 入库计划、Send to Amazon、创建入仓计划、packing option、placement option、transportation option、货件箱唛、入仓标签、送仓预约、shipmentConfirmationId、createInboundPlan、Fulfillment Inbound API、v2024-03-20 或 v0 入仓接口时触发。即使未明确说“Fulfillment Inbound”，只要希望把库存发往亚马逊运营中心并完成建仓、装箱、分仓、运输或交仓步骤，也应触发此技能。

ClawHub Agent Skills author: linkfox-ai v1.0.1 MIT-0 74 files · 57 scripts body ≈ 1 818 tokens Open the sourceclawhub.ai↗ analyzed 6 d ago

亚马逊 FBA 入仓与 Fulfillment Inbound 全流程管理。用于创建和管理 inbound plan，处理装箱、placement、shipment、货件内容更新、送达窗口、自配送预约、运输方案、商品合规、预处理、箱唛标签、提单及异步操作状态。用户提到 FBA 入库计划、Send to…

As a process D 48/100 · Unfinished process — References files that are not bundled: references/apis/*.md

IntegrationLogistics and warehousetype 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
C
84/100
safety, quality, tests
Safety 60%
96
Quality 40%
67
Run on models
none yet
Process rating
D
48/100
Unfinished process
References files that are not bundled: references/apis/*.md
Tools and files w 18
0
Result and completion w 14
0
Progress reporting w 2
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.
  2. The text references files that are not there: add them or drop the references.
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
  • low Dangerous commands cmd-shell-rc references/onboarding.md:27
    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:28
    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/_spapi_fulfillment_inbound_specs.py:389
    High-entropy token-like string (may be an id, hash or a credential) (test fixture / example file; quoted — discussed, not commanded)
    "Pack…eft", "Pack…4_2", "Pack…4_4",
    fixturequoted
  • 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

Files scanned: 74. 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")
  • warning missing-ref reference to a missing file: references/apis/*.md
  • note edit-residue the text marks something as outdated (lines 80): check that old rules are not kept next to new ones — the full check reads the text for contradictions

Process rating: all ten parameters 48/100

Will not run. References files that are not bundled: references/apis/*.md
  • 0Tools and files. 1 referenced file(s) missing: references/apis/*.md
  • 0Result and completion. Does not say what the result is
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 50Failures and branches. 0 branches, has a failure section
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 100Steps. 39 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1818 tokens
  • 100Running it twice. No mutating operations
  • 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)
  • +3Output format is not stated: the model decides each time
  • -352 of 57 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +3Description length 397: enough signal without eating the budget
  • +4Structure: 10 headings
  • +3Step-by-step instructions: 39 items
  • +4Has examples (2 code blocks)
  • +4Reference files are cited in the instructions (5 of 5)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 67.

External checks

ClawHub: suspicious
The skill mostly matches Amazon FBA inbound work, but it handles sensitive seller data, credentials, and billing with under-scoped endpoint and storage controls that deserve review before installation.
LLM: suspicious (high) · 14 Sept 2026