DD fmr-user-guide
Free Model Router（FMR）免费模型路由的用户指南：安装、升级、从 Skill 模式迁移、把 agent harness 接入其 OpenAI/Anthropic 兼容端点、渠道注册与 API key 录入、模型与渠道切换停用、故障排查、数据安全说明、能力发现（FMR 能干什么/有哪些功能/组合用法，按所装版本运行时实测）。当用户提到 FMR、free-model-router、免费 token、模型路由，或描述其症状（router 起不来/挂了、切模型失败、要配渠道 key），或询问 FMR 的功能、用途与组合用法时使用。
Free Model Router（FMR）免费模型路由的用户指南：安装、升级、从 Skill 模式迁移、把 agent harness 接入其 OpenAI/Anthropic 兼容端点、渠道注册与 API key 录入、模型与渠道切换停用、故障排查、数据安全说明、能力发现（FMR…
As a process D 46/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions
What is at stake
The skill contains fragments that, in the wrong hands, cost money or data. Below: what the installer risks and what the author should do.
The skill contains commands that delete files, rewrite disks or execute code fetched from the network. The agent may run them without asking if it believes the instructions require it.
Replace destructive commands with safe equivalents that ask for confirmation, scope them to one folder, and stop piping curl into a shell: pin a version and a checksum.
How to improve
- Address the high-severity findings: each costs 18 safety points. If one is a false positive, add the rule id to guard.allow in spec.yaml.
- Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
- 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 · 2
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high Dangerous commands
cmd-pipe-to-shellreferences/chapters/install.md:23Downloads and executes remote code from an unrecognised host (pipe to shell)curl -sSL https://freemodel.eu.org/install.sh | bash
Medium and low: 1
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medium Dangerous commands
cmd-persistencereferences/chapters/install.md:12Persistence mechanism (cron / launchd / scheduled task / autorun registry) (quoted — discussed, not commanded)- 操作系统：Windows / Linux / macOS 均支持；无 systemd 的环境（容器、WSL）走 crontab `@reboot` 兜底。
quoted
Files scanned: 15. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
description-no-whendescription 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 (web) that frontmatter does not declare
- 100Steps. 13 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1672 tokens
- 100Running it twice. No mutating operations
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
- -2localhost URLs: will not work for another user
- +1No license
- +2Single-language instructions
- +3Description length 273: enough signal without eating the budget
- +4Structure: 8 headings
- +3Step-by-step instructions: 13 items
Quality base 70; lint remarks subtract, signals add up to 100. Result: 66.