CC trek-agent-control
配套 Trek 微信旅行小程序的自动化 Skill，主要面向 WorkBuddy，也兼容 Codex、Claude、OpenClaw、Hermes 等 Agent。通过认证的远程 MCP 研究国内外目的地、读取或修改行程，并把日程、地点、预订、住宿、费用、清单、待办、附件和协作提案安全同步回小程序。Use when WorkBuddy or another agent needs to plan travel, inspect Trek data, synchronize structured itinerary fields, upload tickets, or run safe diagnostics with a user-provided Trek Agent Key.
配套 Trek 微信旅行小程序的自动化 Skill，主要面向 WorkBuddy，也兼容 Codex、Claude、OpenClaw、Hermes 等 Agent。通过认证的远程 MCP 研究国内外目的地、读取或修改行程，并把日程、地点、预订、住宿、费用、清单、待办、附件和协作提案安全同步回小程序。Use when…
As a process C 55/100 · Has gaps — weak spots: result and completion, inputs and preconditions, progress reporting
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.
- 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-install-from-urlreferences/configuration.md:34Installs a package from an untrusted URL / archivenpm install -g https://github.com/super21-bat/trek-agent-control/archive/refs/heads/main.tar.gz
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high Dangerous commands
cmd-install-from-urlSKILL.md:30Installs a package from an untrusted URL / archivenpm install -g https://github.com/super21-bat/trek-agent-control/archive/refs/heads/main.tar.gz
Files scanned: 5. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
✓ No remarks against the Agent Skills spec
Process rating: all ten parameters 55/100
- 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
- 50When it triggers. No condition that starts the skill
- 50Failures and branches. 0 branches, has a failure section
- 60Tools and files. Uses tools (bash) that frontmatter does not declare
- 100Steps. 33 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 2166 tokens
- 100Running it twice. Mutating operations check current state
- medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
- 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)
- +3Output format is not stated: the model decides each time
- -5TODO / placeholder text left in the skill
- +1No license
- +2Single-language instructions
- +3Description length 344: enough signal without eating the budget
- +4Structure: 8 headings
- +3Step-by-step instructions: 33 items
- +4Has examples (2 code blocks)
- +4Reference files are cited in the instructions (3 of 3)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 83.