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Vx Agent Workflow

作者 Hal · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ⚠ suspicious
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在 OpenClaw 中安装
/install vx-agent-workflow
功能描述
Token-efficient command execution patterns for AI agents using vx. Use when running builds, tests, linting, GitHub operations, or any command that produces v...
使用说明 (SKILL.md)

VX Agent Workflow — Token-Efficient Command Execution

Core principle: Use vx rg as the universal cross-platform filter. Never use platform-specific tools like Select-String (PowerShell), grep (Unix), or findstr (cmd). One command, every OS.

Why This Matters

AI agents pay per-token for both input and output. A full cargo test run can produce 500+ lines when you only need the 5 lines showing failures. Agents that dump raw output waste 95% of their context window on noise.

The vx advantage: vx auto-installs rg (ripgrep), jq, fd, and other filtering tools on every platform. Use them instead of shell-specific builtins.

Token Savings Per Operation (Measured)

Based on medium-sized Rust/Python/TypeScript projects:

Operation Frequency/30min Raw tokens Filtered Savings
vx cargo test 5x ~25,000 ~2,500 -90%
vx cargo build 5x ~15,000 ~1,500 -90%
vx cargo clippy 3x ~8,000 ~800 -90%
vx uv run pytest 4x ~8,000 ~800 -90%
vx gh pr view 5x ~3,000 ~300 -90%
vx gh run view --log 3x ~30,000 ~1,500 -95%
vx git status 10x ~3,000 ~600 -80%
vx git diff 5x ~10,000 ~2,500 -75%
vx npm test 5x ~20,000 ~2,000 -90%
vx just quick 3x ~40,000 ~2,000 -95%
Session total ~162,000 ~12,500 -92%

The Universal Filter Pattern

vx \x3Ccommand> 2>&1 | vx rg "\x3Cpattern>"

This works identically on:

  • Windows PowerShell 5.1+ / 7+ (pwsh)
  • Windows cmd.exe
  • Linux Bash/Zsh
  • macOS Bash/Zsh

Why NOT platform-specific tools

Platform Native filter Problem
PowerShell Select-String -Pattern "..." | Select-Object -Last 30 Verbose syntax, outputs objects not text, breaks on Unix
Bash/Zsh grep -E "..." | tail -30 Not available on Windows without WSL
cmd.exe findstr /R "..." Limited regex, no tail equivalent, no context lines

With vx, one line replaces all of them:

vx \x3Ccommand> 2>&1 | vx rg -m 30 "pattern"

Deep Recipe: vx cargo (Rust Build & Test)

Build — Progressive Disclosure

# Level 1: Just pass/fail (2 tokens)
vx cargo build 2>&1 && echo "OK" || echo "FAIL"

# Level 2: Error count only (5 tokens)
vx cargo build 2>&1 | vx rg -c "^error"

# Level 3: Error messages only (~50-200 tokens)
vx cargo build 2>&1 | vx rg "^error\[" 

# Level 4: Errors + location (~200-500 tokens)
vx cargo build 2>&1 | vx rg "^error|^\s*--> "

# Level 5: Errors with context (~500-1000 tokens)
vx cargo build 2>&1 | vx rg -B 1 -A 3 "^error\["

# NEVER: Full raw output (5000-20000 tokens)
# vx cargo build  ← don't do this unless debugging a novel issue

Test — Optimal Patterns

# Cheapest: Just the summary line
vx cargo test 2>&1 | vx rg "^test result:"
# Output: test result: ok. 47 passed; 0 failed; 0 ignored

# Failed tests only (names + messages)
vx cargo test 2>&1 | vx rg "FAILED|panicked|thread .+ panicked|assertion"

# Specific crate (80% faster, 80% fewer tokens)
vx cargo test -p vx-cli 2>&1 | vx rg "test result:|FAILED"

# Specific test by name
vx cargo test -p vx-cli test_parse_args 2>&1 | vx rg "test result:|FAILED|panicked"

# JSON format for structured parsing (nightly or with --format)
vx cargo test -- -Z unstable-options --format json 2>&1 | vx jq -c 'select(.event == "failed")'

Clippy — Warnings & Errors

# Count issues (1 token answer)
vx cargo clippy 2>&1 | vx rg -c "^(warning|error)\["

# Issue types only
vx cargo clippy 2>&1 | vx rg -o "(warning|error)\[\w+\]" | sort | uniq -c

# Full warnings with file location
vx cargo clippy 2>&1 | vx rg "^(warning|error)\[|^\s*--> "

# Specific lint only
vx cargo clippy 2>&1 | vx rg "unused_variable|dead_code"

Build + Test Combined (vx just quick)

# Optimal: capture only final results from the full pipeline
vx just quick 2>&1 | vx rg "^(error|warning)\[|test result:|FAILED|Finished|could not compile"

# If expecting success (confirmation only)
vx just quick 2>&1 | vx rg -m 5 "Finished|test result: ok|All checks passed"

Tee Pattern — Save Full Output for Failure Recovery

When a command fails, save full output to a file so you can dig deeper without re-running (inspired by rtk's tee feature):

# Run once, save everything, show only errors
vx cargo test 2>&1 | vx tee .vx-last-output.log | vx rg "FAILED|error|panicked"

# If filtered output is insufficient, read the saved log
vx rg -C 5 "FAILED" .vx-last-output.log

# Alternative: redirect to file + filter separately
vx cargo test > .vx-last-output.log 2>&1; vx rg "test result:|FAILED" .vx-last-output.log

Deep Recipe: vx gh (GitHub CLI)

PR Operations — JSON Field Selection

The single most effective token-saving technique for gh is --json with field selection:

# BAD: Full PR view (500-2000 tokens of formatting)
vx gh pr view 123

# GOOD: Selected fields only (~50-100 tokens)
vx gh pr view 123 --json title,state,mergeable,reviewDecision,headRefName

# With inline jq filtering
vx gh pr view 123 --json files --jq '.files[].path'

# PR list — compact
vx gh pr list --json number,title,state,headRefName --jq '.[] | "\(.number) \(.state) \(.title)"'

CI Checks — Status Only

# BAD: Full checks output (1000+ tokens)
vx gh pr checks 123

# GOOD: Just name + conclusion (~100 tokens)
vx gh pr checks 123 --json name,state,conclusion --jq '.[] | "\(.name): \(.conclusion)"'

# Only failed checks
vx gh pr checks 123 --json name,state,conclusion --jq '.[] | select(.conclusion == "FAILURE") | .name'

# Quick pass/fail
vx gh pr checks 123 --json conclusion --jq 'all(.conclusion == "SUCCESS")'

CI Run Logs — Filtered

CI logs are the #1 token-waster (10,000-100,000+ tokens). Always filter:

# NEVER: Full log dump
# vx gh run view 789 --log  ← 10000+ tokens

# GOOD: Only errors from the log
vx gh run view 789 --log 2>&1 | vx rg -m 50 "^error|FAILED|panic|fatal|Error:"

# Failed step only
vx gh run view 789 --log-failed 2>&1 | vx rg -m 50 "error|FAILED|panic"

# Just the conclusion
vx gh run view 789 --json conclusion,status --jq '.conclusion'

# List recent runs with status
vx gh run list --json databaseId,status,conclusion,headBranch -L 5 --jq '.[] | "\(.databaseId) \(.conclusion) \(.headBranch)"'

Issues — Selective Fields

# Compact issue view
vx gh issue view 456 --json title,state,labels,body --jq '{title,state,labels: [.labels[].name]}'

# Issue list filtered
vx gh issue list --json number,title,state -L 10 --jq '.[] | "\(.number) \(.title)"'

API Calls — Always Use --jq

# Direct API with jq projection
vx gh api repos/{owner}/{repo}/actions/runs --jq '.workflow_runs[:3] | .[] | {id,conclusion,head_branch}'

# PR files changed
vx gh api repos/{owner}/{repo}/pulls/123/files --jq '.[].filename'

# Commit status
vx gh api repos/{owner}/{repo}/commits/{sha}/status --jq '.state'

Deep Recipe: Python Testing (pytest)

Basic Patterns

# Cheapest: Just the summary line
vx uv run pytest 2>&1 | vx rg "passed|failed|error" | vx rg "==="
# Output: === 42 passed, 1 failed in 3.21s ===

# Failed test names only
vx uv run pytest 2>&1 | vx rg "^FAILED "

# Short test summary (pytest's own -r flag)
vx uv run pytest --tb=no -q 2>&1
# Output: 42 passed, 1 failed in 3.21s

# Failed with short traceback
vx uv run pytest --tb=short 2>&1 | vx rg -A 5 "^FAILED|^E "

# Only run tests matching a pattern (fastest)
vx uv run pytest -k "test_parse" --tb=short -q 2>&1

pytest Native Flags That Save Tokens

Use pytest's own flags before piping — they reduce output at source:

# --tb=no: No tracebacks (just pass/fail)
vx uv run pytest --tb=no -q 2>&1

# --tb=line: One-line per failure
vx uv run pytest --tb=line 2>&1

# --tb=short: Short traceback
vx uv run pytest --tb=short 2>&1

# -q / --quiet: Minimal output
vx uv run pytest -q 2>&1

# --no-header: Skip the pytest header
vx uv run pytest --no-header -q 2>&1

# -x: Stop at first failure (don't waste time on cascade)
vx uv run pytest -x --tb=short 2>&1

# Combine for maximum efficiency
vx uv run pytest --no-header --tb=line -q 2>&1
# Output: FAILED tests/test_auth.py::test_login - AssertionError
#         1 failed, 41 passed in 2.1s

pytest JSON Output

# With pytest-json-report plugin
vx uv run pytest --json-report --json-report-file=- 2>&1 | vx jq '{summary: .summary, failed: [.tests[] | select(.outcome == "failed") | .nodeid]}'

# With JUnit XML
vx uv run pytest --junitxml=- 2>&1 | vx rg "failures=|errors="

Coverage — Summary Only

# BAD: Full coverage report (1000+ tokens)
# vx uv run pytest --cov

# GOOD: Just the total
vx uv run pytest --cov --cov-report=term-missing 2>&1 | vx rg "^TOTAL|^FAILED|passed"

# Even better: Just the percentage
vx uv run pytest --cov 2>&1 | vx rg "^TOTAL" | vx rg -o "\d+%"

Deep Recipe: vx git (Version Control)

Progressive Disclosure for Diffs

# Level 0: Any changes? (1 token)
vx git diff --quiet && echo "clean" || echo "dirty"

# Level 1: File names only (~10-30 tokens)
vx git diff --name-only

# Level 2: Stats (insertions/deletions per file, ~50-100 tokens)
vx git diff --stat

# Level 3: Specific file diff
vx git diff -- src/specific_file.rs

# Level 4: Full diff (only when you truly need it)
vx git diff

Status — Compact Forms

# Compact status
vx git status --short --branch
# Output: ## main...origin/main
#          M src/lib.rs
#         ?? new_file.rs

# Count of changes only
vx git status --short | vx rg -c "."

Log — Bounded

# One-line format, limited
vx git log --oneline -10

# Diff stat for recent commits
vx git log --oneline --stat -3

# Files changed in a range
vx git diff --name-only origin/main...HEAD

# Commit messages in a range
vx git log --oneline origin/main...HEAD

vx Built-in Compact Mode (--compact / -u)

vx has a built-in RTK-style compact mode that automatically filters subprocess output without manual piping. This is the easiest way to save tokens:

# Compact mode — vx automatically filters build/test/git output
vx --compact cargo test          # Shows only: test result + failures
vx --compact cargo build         # Shows only: errors + final status
vx --compact git status          # Shows only: short status
vx --compact gh pr view 123      # Shows only: essential fields
vx -u cargo test                 # -u is shorthand for --compact

# Filter aggressiveness levels
vx --compact --filter-level light cargo test      # Light filtering
vx --compact --filter-level normal cargo test     # Default
vx --compact --filter-level aggressive cargo test # Maximum compression

# Set globally for entire session
export VX_OUTPUT=compact
vx cargo test                    # Now always compact
vx cargo build                   # Always compact
vx git status                    # Always compact

Compact vs Manual Pipe — When to Use Which

Approach Use when Example
vx --compact \x3Ccmd> Quick runs, standard filters are good enough vx --compact cargo test
\x3Ccmd> 2>&1 | vx rg "pattern" Need custom filter pattern vx cargo test 2>&1 | vx rg "my_test|FAILED"
--json / --jq Command has native JSON support vx gh pr view N --json title,state

The --compact Mode Tracks Token Savings Automatically

Every command run with --compact, --output-format toon, or --json is automatically measured. Check cumulative savings with:

vx metrics tokens
vx metrics tokens --json    # For machine consumption

Token Measurement & Statistics

Built-in: vx metrics tokens

vx has built-in token savings tracking (similar to rtk gain). Every time you use --output-format toon, --compact, or --json, vx automatically records baseline vs actual token counts. Query the data with:

# Terminal table — shows savings per command
vx metrics tokens

# Output:
# Token savings summary
# runs:12 records:15 baseline:4500 actual:1200 net_saved:3300 (73.3%)
#
# Command                              Runs   Before    After  Net saved  Saved%
# vx list                                 5     2000      400      1600   80.0%
# vx cargo test                           3     1500      300      1200   80.0%
# vx check                                4     1000      500       500   50.0%

# JSON format — for dashboards or further processing
vx metrics tokens --json

# Last N runs only
vx metrics tokens --last 20

How Tracking Works

vx records a TokenSavingsRecord for every command that uses a structured output format (toon, json, compact). Each record captures:

Field Description
baseline_tokens Estimated tokens if output were unformatted text
actual_tokens Actual tokens in the structured/filtered output
token_delta Positive = tokens saved
savings_ratio Fraction saved (0.0–1.0)

Token estimation: 1 token ≈ 4 UTF-8 bytes (heuristic, matches GPT/Claude tokenizers within ~10%).

Enabling Token Tracking

Token savings are tracked automatically when you use vx's built-in output modes:

# These automatically track savings
vx list --output-format toon           # TOON format (40-60% savings)
vx check --json                         # JSON format
vx --compact cargo test                 # Compact wrapper

# Set globally to track all commands
export VX_OUTPUT=toon

Manual Measurement (for piped commands)

For commands piped through vx rg, track savings manually:

# Quick comparison: raw vs filtered
vx cargo test > /tmp/vx-raw.log 2>&1
vx rg "test result:|FAILED" /tmp/vx-raw.log > /tmp/vx-filtered.log
echo "Raw: $(wc -c \x3C /tmp/vx-raw.log) bytes → Filtered: $(wc -c \x3C /tmp/vx-filtered.log) bytes"

# Or one-liner (runs command twice — use for benchmarking only)
echo "Saved: $(echo "scale=1; 100 - $(vx cargo test 2>&1 | vx rg 'test result:|FAILED' | wc -c) * 100 / $(vx cargo test 2>&1 | wc -c)" | bc)%"

AI Summary (For Agent Introspection)

# Full metrics with AI-friendly JSON summary
vx metrics --json

# Includes timing, stages, and token savings
# Useful for agents to self-optimize their command patterns

HTML Report (For Human Review)

# Generate visual report of all metrics including token savings
vx metrics --html report.html

Expected Savings by Command Category

Category Raw output Optimal filter Tokens saved Technique
Build (cargo/go/tsc) 5K-20K 50-500 90-99% vx rg "^error"
Test (cargo/pytest/jest) 2K-25K 50-200 90-99% vx rg "test result:|FAILED"
Lint (clippy/ruff/eslint) 2K-10K 100-500 85-95% vx rg "^(error|warning)\["
Git operations 1K-10K 100-500 75-90% --stat, --name-only, --short
GitHub CLI 500-5K 50-200 80-95% --json field1,field2 --jq
CI logs 10K-100K 200-1000 95-99% --log-failed | vx rg -m 50
File listing 500-5K 50-200 80-95% vx fd with type filters

Advanced Patterns

The Tee-on-Failure Pattern

Save full output only when commands fail (zero cost on success):

# Bash/Zsh/PowerShell compatible
vx cargo test 2>&1 | vx rg "test result:|FAILED|panicked"; if [ $? -ne 0 ]; then vx cargo test 2>&1 > .vx-debug.log && echo "[full log: .vx-debug.log]"; fi

# Simpler: always tee, only read on failure
vx cargo test > .vx-last.log 2>&1; EXIT=$?; vx rg "test result:|FAILED" .vx-last.log; if [ $EXIT -ne 0 ]; then echo "[debug: .vx-last.log]"; fi

Deduplication — Collapse Repeated Lines

# Sort + unique count (great for repeated warnings)
vx cargo clippy 2>&1 | vx rg "^warning\[" | sort | uniq -c | sort -rn

# Output:
#   12 warning[dead_code]
#    5 warning[unused_import]
#    2 warning[unused_variable]

Cascading Filters — Cheap to Expensive

Always start with the cheapest check and only expand if needed:

# 1. Pass/fail? (2 tokens)
vx cargo test 2>&1 > /dev/null && echo "PASS" || echo "FAIL"

# 2. If FAIL → how many failures? (5 tokens)
vx rg -c "FAILED" .vx-last.log

# 3. If > 0 → which tests? (~50 tokens)
vx rg "FAILED" .vx-last.log

# 4. If unclear → context around failures (~200 tokens)
vx rg -B 2 -A 5 "FAILED" .vx-last.log

# 5. Only if truly stuck → full section
vx rg -A 30 "failures:" .vx-last.log

JSON Projection for Structured Commands

Many tools support JSON output natively — use it with vx jq:

# cargo metadata — just workspace members
vx cargo metadata --format-version=1 2>&1 | vx jq '[.workspace_members[]]'

# npm — just outdated packages
vx npm outdated --json 2>&1 | vx jq 'to_entries | .[] | "\(.key): \(.value.current) → \(.value.latest)"'

# pytest json report
vx uv run pytest --json-report --json-report-file=- 2>&1 | vx jq '.summary'

Platform-Specific Notes

Stderr Redirection (2>&1)

The 2>&1 syntax works in all shells (PowerShell, Bash, cmd). It merges stderr into stdout so vx rg can filter both streams. Always include it for build/test commands that may emit errors on stderr.

PowerShell Pipe Encoding

PowerShell may convert pipe output to UTF-16. If vx rg shows garbled output:

$env:PYTHONIOENCODING="utf-8"
[Console]::OutputEncoding = [System.Text.Encoding]::UTF8

Or use vx's subprocess environment which handles encoding automatically.

Long Commands on Windows

Windows cmd.exe has a ~8191 character limit. For complex filter patterns:

# Put pattern in a file
echo "error|FAILED|panicked|could not compile" > .vx-filter.txt
vx cargo test 2>&1 | vx rg -f .vx-filter.txt

Decision Tree for Agents

Need to run a command?
│
├─ Is this a vx native command (list, check, versions)?
│  └─ Use --json or --output-format toon
│
├─ Is this `vx gh` (GitHub CLI)?
│  └─ ALWAYS use --json field1,field2 --jq 'projection'
│
├─ Is this a test command?
│  ├─ cargo test → vx cargo test -p \x3Ccrate> 2>&1 | vx rg "test result:|FAILED"
│  ├─ pytest     → vx uv run pytest --no-header --tb=line -q 2>&1
│  ├─ jest       → vx npm test 2>&1 | vx rg "Tests:|FAIL"
│  └─ go test    → vx go test ./... 2>&1 | vx rg "^(ok|FAIL)"
│
├─ Is this a build command?
│  └─ vx cargo build 2>&1 | vx rg "^error|could not compile"
│
├─ Is this a lint command?
│  └─ vx cargo clippy 2>&1 | vx rg "^(error|warning)\["
│
├─ Will output be small (\x3C20 lines)?
│  └─ Run directly: vx \x3Ccommand>
│
├─ Will output be large or unknown?
│  ├─ Just pass/fail? → && echo "PASS" || echo "FAIL"
│  ├─ Error details?  → 2>&1 | vx rg "error|FAILED|panic"
│  ├─ Count only?     → 2>&1 | vx rg -c "pattern"
│  └─ Context?        → 2>&1 | vx rg -C 3 "error|FAILED"
│
└─ CI log?
   └─ vx gh run view N --log-failed 2>&1 | vx rg -m 50 "error|FAIL"

Anti-Patterns

# BAD: Platform-specific filtering
vx just test 2>&1 | Select-String -Pattern "FAILED"          # PowerShell only
vx just test 2>&1 | grep -E "FAILED"                         # Unix only
vx just test 2>&1 | findstr /R "FAILED"                      # cmd only

# GOOD: Universal with vx
vx just test 2>&1 | vx rg "FAILED"                           # Everywhere

# BAD: Dumping full verbose output
vx cargo test                                                  # 500+ lines
vx gh run view 789 --log                                      # 10000+ lines
vx gh pr view 123                                             # 500+ tokens of formatting
vx uv run pytest                                              # 200+ lines

# GOOD: Filtered to actionable information
vx cargo test 2>&1 | vx rg "test result:|FAILED"             # 2-5 lines
vx gh run view 789 --log-failed 2>&1 | vx rg -m 30 "error"  # ≤30 lines
vx gh pr view 123 --json title,state,mergeable               # ~30 tokens
vx uv run pytest --no-header --tb=line -q 2>&1               # 2-10 lines

# BAD: Full coverage / dependency trees
vx uv run pytest --cov                                        # 100+ lines table
vx npm list                                                    # huge tree

# GOOD: Summary extraction
vx uv run pytest --cov 2>&1 | vx rg "^TOTAL"                 # 1 line
vx npm list --depth=0 2>&1                                    # top-level only

# BAD: Multiple platform-aware branches
if ($IsWindows) { ... | Select-String ... } else { ... | grep ... }

# GOOD: One command everywhere
vx \x3Ccmd> 2>&1 | vx rg "pattern"

Quick Reference Card

Task Token-efficient command ~Tokens
Rust test pass/fail vx cargo test 2>&1 && echo OK || echo FAIL 2
Rust test summary vx cargo test 2>&1 | vx rg "test result:" 10
Rust test failures vx cargo test 2>&1 | vx rg "FAILED|panicked" 20-100
Rust build errors vx cargo build 2>&1 | vx rg "^error" 20-200
Clippy count vx cargo clippy 2>&1 | vx rg -c "^(error|warning)\[" 2
Clippy issues vx cargo clippy 2>&1 | vx rg "^(error|warning)\[" 50-200
pytest summary vx uv run pytest --no-header --tb=line -q 2>&1 10-50
pytest failures vx uv run pytest --tb=short -q 2>&1 | vx rg "FAILED|^E " 50-200
Node test summary vx npm test 2>&1 | vx rg "Tests:|FAIL" 10-50
Go test summary vx go test ./... 2>&1 | vx rg "^(ok|FAIL)" 10-50
Just quick-check vx just quick 2>&1 | vx rg "error|FAILED|Finished" 20-100
Git changes vx git diff --name-only 10-30
Git status vx git status --short --branch 10-50
PR status vx gh pr view N --json title,state,mergeable 30-50
PR files vx gh pr view N --json files --jq '.files[].path' 20-50
CI status vx gh pr checks N --json name,conclusion --jq '...' 30-100
CI errors vx gh run view N --log-failed 2>&1 | vx rg -m 30 "error" 100-500
Search code vx rg -n -m 20 "pattern" src/ 50-200
Find files vx fd "pattern" --type f 10-50
安全使用建议
Review the autoreview skill before installing. In particular, consider changing its default to `--no-yolo` or using it only in a trusted local checkout, because the bundled helper can run nested review tooling with full filesystem authority and may pass diffs to configured fallback reviewer CLIs. The ClawHub moderation commands are powerful but clearly scoped with confirmation and audit guidance.
能力评估
Purpose & Capability
Most capabilities match the stated purposes: ClawHub moderation, UI proof, remote validation, Convex setup, migrations, and code review. The concern is the autoreview helper's default full-access nested reviewer mode, which is broader than an advisory review workflow needs.
Instruction Scope
The moderation skill includes explicit target, reason, confirmation, auth, and verification rules. However, the autoreview script defaults to `--dangerously-bypass-approvals-and-sandbox --sandbox danger-full-access`, and fallback reviewers may receive generated diffs, so review authority and data sharing deserve close attention.
Install Mechanism
The artifacts are plain `.agents/skills` skill files plus a visible helper script; I did not find hidden installers, startup hooks, or automatic persistence setup.
Credentials
The skills intentionally use repo, GitHub, Convex, and remote validation tools, which fits their purpose. Some workflows can affect public PRs, moderation state, deployments, or remote machines, so they should only be used in trusted ClawHub maintenance contexts.
Persistence & Privilege
No unbounded background persistence was evident. Privileged actions are present for staff moderation and review automation, but the clearest overbroad privilege issue is the autoreview helper's default sandbox bypass.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install vx-agent-workflow
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /vx-agent-workflow 触发
  4. 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v1.0.0
Initial release of vx-agent-workflow — cross-platform, token-efficient command execution for AI agents. - Introduces universal filtering with `vx rg` to replace platform-specific tools (`grep`, `Select-String`, `findstr`), ensuring consistent behavior on all OSes. - Provides recipes for dramatically reducing token usage when running builds, tests, linting, and GitHub operations—achieving up to 90–95% token savings per operation. - Includes deep usage patterns for Rust (`cargo`), Python (`pytest`), Node (`npm`), and GitHub CLI (`gh`), with practical filtering and field selection examples. - Documents token savings based on real project measurements and offers best practices for output filtering and recovery. - Enables agents to track token savings and optimize command output for large, verbose workflows.
元数据
Slug vx-agent-workflow
版本 1.0.0
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 1
常见问题

Vx Agent Workflow 是什么?

Token-efficient command execution patterns for AI agents using vx. Use when running builds, tests, linting, GitHub operations, or any command that produces v... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 48 次。

如何安装 Vx Agent Workflow?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install vx-agent-workflow」即可一键安装,无需额外配置。

Vx Agent Workflow 是免费的吗?

是的,Vx Agent Workflow 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

Vx Agent Workflow 支持哪些平台?

Vx Agent Workflow 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。

谁开发了 Vx Agent Workflow?

由 Hal(@loonghao)开发并维护,当前版本 v1.0.0。

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