A fast Rust-based headless browser automation CLI with Node.js fallback that enables AI agents to navigate, click, type, and snapshot pages via structured commands.
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Verification gate before claiming task completion. No completion claim without fresh evidence.
中文简介正在准备中。当前显示原文说明。
实测评分 未实测
查看安装方法安装前可以查看交给 AI 代理的指令内容。
Claiming work is done without verification is not efficiency -- it is dishonesty.
Core principle: Evidence first, claims second. Always.
Violating the letter of this rule violates its spirit.
NO COMPLETION CLAIM WITHOUT FRESH VERIFICATION EVIDENCE
If you did not run the verification command in this message, you cannot claim it passes.
BEFORE ANY status claim or satisfaction expression:
1. IDENTIFY: What command proves this claim?
2. RUN: Execute the FULL command (fresh, complete)
3. READ: Read the full output, check exit code, count failures
4. VERIFY: Does the output support the claim?
- NO: State the real status with evidence
- YES: State the claim with evidence
5. ONLY THEN: Make the claim
Skip any step = not verification, but fabrication
Common verification requirements:
| Claim | Required Evidence | NOT Sufficient |
|---|---|---|
| Tests pass | Test command output: 0 failures | Previous run, "should pass" |
| Linter clean | Linter output: 0 errors | Partial check, guessing |
| Build succeeds | Build command: exit 0 | Linter passes, logs look fine |
| Bug fixed | Test original symptom: passes | Code changed, assumed fixed |
| Regression test works | Red-green cycle verified | Test passes once |
| Subagent completed | VCS diff shows changes | Subagent said "success" |
| Requirements met | Line-by-line checklist | Tests pass |
When all tasks are complete, run an independent review:
[Spawn a reviewer subagent]:
task="Code Review -- [feature/change name]
## What Was Done
[Summary]
## Requirements
[From plan/spec]
## Changed Files
[List]
## Task
1. Read the changed files
2. Compare requirements line by line
3. Security check (OWASP Top 10)
4. Clean code check
5. Test quality check
Report:
- Strengths
- Issues (Critical / Important / Minor)
- Verdict: Approved / Changes required"
Review result:
After review passes, present options:
Steps for each option:
git checkout main && git merge <branch>gh pr create --title "..." --body "..."git branch -d <branch> (get confirmation)If you catch yourself thinking or saying:
| Excuse | Reality |
|---|---|
| "It works now" | RUN the verification |
| "I am sure" | Confidence is not evidence |
| "Just this once" | No exceptions |
| "Linter passed" | Linter is not a compiler |
| "Agent said success" | Verify independently |
| "I am tired" | Fatigue is not an excuse |
| "Partial check is enough" | Partial proves nothing |
| "Different words, rule does not apply" | Spirit overrides letter |
Tests:
CORRECT: [Run test command] [See: 34/34 passed] "All tests pass"
WRONG: "Should pass now" / "Looks correct"
Regression tests (TDD Red-Green):
CORRECT: Write --> Run (passes) --> Revert fix --> Run (MUST FAIL) --> Restore --> Run (passes)
WRONG: "I wrote a regression test" (without red-green verification)
Build:
CORRECT: [Run build] [See: exit 0] "Build passes"
WRONG: "Linter passed" (linter does not check compilation)
Requirements:
CORRECT: Re-read plan --> Create checklist --> Verify each --> Report gaps or completion
WRONG: "Tests pass, phase complete"
Subagent delegation:
CORRECT: Subagent said success --> Check VCS diff --> Verify changes --> Report real status
WRONG: Trust the subagent report
ALWAYS, BEFORE any of these:
Related skills:
tdd-workflow -- For regression test verificationsubagent-execution -- Pass through this gate after every tasksystematic-debugging -- When verification fails还没有评价。欢迎分享你的使用感受。
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A fast Rust-based headless browser automation CLI with Node.js fallback that enables AI agents to navigate, click, type, and snapshot pages via structured commands.
中文简介正在准备中。当前显示原文说明。
Agent islemlerini policy'ye gore denetle. Hassas islem oncesi governance kontrolu calistir. Tetikleyiciler: destructive komut, dosya sistemi erisimi, rate limit, butce kontrolu, trust score yonetimi.
中文简介正在准备中。当前显示原文说明。
Evaluate and improve AgentSystem learning quality for memory/self-compound jobs. Use when bots forget, write filler summaries, fail to update learnings, or memory quality regresses over time.
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Operate and validate AgentSystem live quality alarm (systemd timer + alert state) to keep memory/proactivity/consistency regressions visible in real time.
中文简介正在准备中。当前显示原文说明。
Audit and improve AgentSystem memory retention, proactive behavior, learning quality, and agent consistency. Use when bots forget context, skip memory writes, wait for explicit prompts, or repeat the same errors across runs.
中文简介正在准备中。当前显示原文说明。
Audit and remediate AgentSystem cron output hygiene by detecting raw tool logs, stack traces, and noisy summaries. Use when jobs leak 403/429/internal details, summaries are not user-safe, or post-change validation is required.
中文简介正在准备中。当前显示原文说明。