DC context-guardian-pro
(no description)
该技能用于自动化监控对话上下文压力。当检测到当前会话消息量或 Token 占用达到阈值时，自动触发“总结历史 -> 写入长期记忆 -> 发送 QQ 告警”的闭环流程，以防止 Context limit exceeded 错误。 用户无需直接调用，该技能通过 taskflow 或 cron 周期性运行。
As a process C 59/100 · Has gaps — weak spots: result and completion, when it triggers, failures and branches
ProcedureWriting and documentsInfrastructuretype and topics are labelled automatically from the skill text
How to improve
- Add a description to the frontmatter: without it the skill never triggers.
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: 5. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- error
frontmatterSKILL.md: no YAML frontmatter block found - error
name-missingSKILL.md: frontmatter has no `name` - error
description-missingSKILL.md: no `description` — the skill can never trigger
Process rating: all ten parameters 59/100
- 0Result and completion. Does not say what the result is
- 0When it triggers. No condition that starts the skill
- 0Failures and branches. Linear process with no failure handling
- 0Progress reporting. Says nothing while it works
- 70Inputs and preconditions. Inputs and preconditions are listed
- 100Tools and files. No external tools needed
- 100Steps. 7 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 149 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)
- +3Description length 0: 120–800 characters recommended
- +3Output format is not stated: the model decides each time
- +4No input/output examples
- -32 of 2 scripts are never mentioned in SKILL.md
- +1No license
- +2Single-language instructions
- +4Structure: 6 headings
- +3Step-by-step instructions: 7 items
Quality base 70; lint remarks subtract, signals add up to 100. Result: 0.
External checks
ClawHub: clean
This skill is a disclosed context-pressure monitor that may write summaries to OpenClaw memory and emit alerts, with no artifact-backed evidence of hidden exfiltration, destructive behavior, or privilege escalation.
LLM: benign (high) · VirusTotal: · 16 Sept 2026