SKILLEMALL.ai
GitHub ↗ RU Sign in

BF linkfox-expert-amazon-fba-inventory-planner

亚马逊 FBA 库存计划与补货专家。适用于库存规划、销量速度估算、补货时间计算、安全库存设置、库存风险检查、FBA 补货测算和库存计划报告的场景。

ClawHub Agent Skills author: linkfox-ai v1.0.1 MIT-0 80 files body ≈ 1 675 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

亚马逊 FBA 库存计划与补货专家。适用于库存规划、销量速度估算、补货时间计算、安全库存设置、库存风险检查、FBA 补货测算和库存计划报告的场景。

As a process F 33/100 · Will not run — References files that are not bundled: references/data-contract.md, references/demand-forecasting.md, scripts/forecast_demand.py

ProcedureCommerceAI and agentstype 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
B
81/100
safety, quality, tests
Safety 60%
100
Quality 40%
52
Run on models
none yet
Process rating
F
33/100
Will not run
References files that are not bundled: references/data-contract.md, references/demand-forecasting.md, scripts/forecast_demand.py
Tools and files w 18
0
Result and completion w 14
0
Inputs and preconditions w 11
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 · 0

✓ No critical or high findings

Files scanned: 6. 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/data-contract.md
  • warning missing-ref reference to a missing file: references/demand-forecasting.md
  • warning missing-ref reference to a missing file: scripts/forecast_demand.py
  • warning missing-ref reference to a missing file: scripts/seasonal_index.py
  • warning missing-ref reference to a missing file: scripts/forecast_bayesian.py
  • warning missing-ref reference to a missing file: references/new-asin-ramp.md
  • warning missing-ref reference to a missing file: references/promo-demand-lock.md
  • warning missing-ref reference to a missing file: references/lead-time-decomposition.md
  • warning missing-ref reference to a missing file: scripts/calculate_restock.py
  • warning missing-ref reference to a missing file: references/supplier-constraints.md
  • warning missing-ref reference to a missing file: references/ipi-capacity-limits.md
  • warning missing-ref reference to a missing file: references/returns-reverse-logistics.md
  • warning missing-ref reference to a missing file: references/kits-bom-inventory.md
  • warning missing-ref reference to a missing file: references/fba-fees.md
  • warning missing-ref reference to a missing file: references/multi-warehouse.md
  • warning missing-ref reference to a missing file: references/multi-channel-inventory.md
  • warning missing-ref reference to a missing file: references/ads-inventory-linkage.md
  • warning missing-ref reference to a missing file: references/exception-priority.md
  • warning missing-ref reference to a missing file: scripts/priority_score.py
  • warning missing-ref reference to a missing file: scripts/hold_vs_remove.py
  • warning missing-ref reference to a missing file: assets/weekly-plan-template.csv
  • warning missing-ref reference to a missing file: assets/weekly-plan-output-guide.md
  • note frontmatter-key unknown frontmatter key "zh_name"

Process rating: all ten parameters 33/100

Will not run. References files that are not bundled: references/data-contract.md, references/demand-forecasting.md, scripts/forecast_demand.py
  • 0Tools and files. 22 referenced file(s) missing: references/data-contract.md, references/demand-forecasting.md, scripts/forecast_demand.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. 2 mutating operations with no state check
  • 100Steps. 81 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1675 tokens
  • low The response is described with custom markup (3 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 73: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • +4No input/output examples
  • +1No license
  • +2Single-language instructions
  • +4Structure: 16 headings
  • +3Step-by-step instructions: 81 items

Quality base 70; lint remarks subtract, signals add up to 100. Result: 52.

External checks

ClawHub: suspicious
This is a real FBA inventory-planning bundle, but it also includes broad LinkFox account, Amazon seller authorization, public upload, scheduling, and authenticated API capabilities that should be reviewed before use.
LLM: suspicious (high) · 9 Aug 2026