SKILLEMALL.ai

BD huo15-claude-odoo

自然语言操作 辉火云企业套件 — 实施经理助手,覆盖任务/CRM/项目/工单/财务/销售/HR/库存/生产/客服/知识/Studio 元编程 13 业务域 204 个工具。v1.23.0 默认权限模型反转:odoo_connect 默认按 sender_id 隔离(每个企微/钉钉/飞书成员配自己的 Odoo 账号,与内部 RBAC 对齐 — 销售看销售的、管理员看管理员的);旧 private 参数标 deprecated,新参数 shared(默认 false);prompt 加附件硬规则(不替用户判断附件内容相符性)。继承 v1.22 record_id+include_lines / v1.21 hook RPC 永久挂修复 / v1.20 审批工作流。Use when:接 Odoo/辉火云、企业 ERP 操作、CRM/任务/财务/销售/工单管理、自然语言企微/钉钉调用 ERP、写销售/采购合同需要订单明细。

ClawHub Agent Skills author: Job Zhao v1.23.2 MIT-0 25 files · 1 script body ≈ 1 739 tokens Open the sourceclawhub.ai analyzed 4 d ago

As a process D 44/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureProcurementAI and agentsSales and CRMtype 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
44/100
Unfinished process
Result and completion w 14
0
Inputs and preconditions w 11
0
Progress reporting w 2
0
the three weakest of ten parameters · all ten

How to improve

    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:150
      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:363
      High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
      "integrity": "sha5…XIB+FGku…WvF/QqOVWvJtWVYaLddANJ+aUklVr2ieuw==",
      detector
    • low Secrets in code secret-high-entropy-token package-lock.json:445
      High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
      "integrity": "sha5…0SL+9JeP…120+zA0O…dw2+iw==",
      quoted
    • low Secrets in code secret-high-entropy-token package-lock.json:480
      High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
      "integrity": "sha5…RAu+EGHG…L8i+zXBl…44B/Kom4…sXQ==",
      detector
    • low Secrets in code secret-high-entropy-token package-lock.json:805
      High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
      "integrity": "sha5…5HY+AxRz…Lsf+l721…TaW/BwghSwQhGgoNgrxMw==",
      detector

    Files scanned: 25. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    • note frontmatter-key unknown frontmatter key "displayName"

    Process rating: all ten parameters 44/100

    • 0Result and completion. Does not say what the result is
    • 0Inputs and preconditions. Does not say what the process needs to start
    • 0Progress reporting. Says nothing while it works
    • 20When it triggers. No condition that starts the skill
    • 30Running it twice. 5 mutating operations with no state check
    • 40Consistency. Frontmatter name (huo15-claude-odoo) differs from the folder (huo15-huihuoyun-odoo)
    • 50Failures and branches. 0 branches, has a failure section
    • 60Tools and files. Uses tools (web) that frontmatter does not declare
    • 100Steps. 12 steps
    • 100Execution cost. Instruction body is 1739 tokens
    • low 17 top-level sections: this looks like several domains in one skill

    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
    • -5TODO / placeholder text left in the skill
    • -31 of 1 scripts are never mentioned in SKILL.md
    • +1No license
    • +2Single-language instructions
    • +3Description length 413: enough signal without eating the budget
    • +4Structure: 32 headings
    • +3Step-by-step instructions: 12 items
    • +4Has examples (1 code blocks)

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

    External checks

    ClawHub: suspicious
    This appears to be a real Odoo/ERP connector, but it gives the agent broad authority over sensitive business systems and persistent automations, so it belongs in Review before installation.
    LLM: suspicious (high) · VirusTotal: · 29 May 2026