Agent skill

Agent Teams Simplify And Harden

by LeoYeAI in LeoYeAI/openclaw-master-skills

Implementation + audit loop using parallel agent teams with structured simplify, harden, and document passes.

MITAuto-check passedAgent Workflows

Install Agent Teams Simplify And Harden

skills CLI
$ npx skills add LeoYeAI/openclaw-master-skills --skill agent-teams-simplify-and-harden -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install LeoYeAI/openclaw-master-skills agent-teams-simplify-and-harden --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/LeoYeAI/openclaw-master-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/agent-teams-simplify-and-harden .claude/skills/agent-teams-simplify-and-harden && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
agent-teams-simplify-and-harden
GitHub stars
2.2k
Token cost
~5.1k tokens
SKILL.md length
1,045 words
Files
2
Skills in repo
1,235
Repo updated
First seen
Licence
MIT

At a glance

Implementation + audit loop using parallel agent teams with structured simplify, harden, and document passes.

  • Works in 9 steps: Create the Team → Create Tasks → Spawn Implementation Agents → …
  • : implementing features from a spec
  • SKILL.md covers Install, When to Use, The Pattern and Loop Limits and Exit Conditions, plus 5 more sections
  • Calls npx and git

What it does

Agent Teams Simplify And Harden is an agent skill from LeoYeAI/openclaw-master-skills. Implementation + audit loop using parallel agent teams with structured simplify, harden, and document passes. Spawns implementation agents to do the work, then audit agents to find complexity, security gaps, and spec deviations, then loops until code compiles cleanly, all tests pass, and auditors find zero issues or the loop cap is reached. Use when: implementing features from a spec or plan, hardening existing code, fixing a batch of issues, or any multi-file task that benefits from a build-verify-fix cycle.

Its SKILL.md is about 5.1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 1 other file (for example `_meta.json`).

It sits in Agent Workflows, covering Subagents. The repository describes itself as: 🧠 Curated collection of 1209+ best OpenClaw skills — weekly updated by MyClaw.ai. The licence is MIT.

When your agent uses it

  • : implementing features from a spec
  • Hardening existing code
  • Fixing a batch of issues
  • Any multi-file task that benefits from a build-verify-fix cycle

Example prompts

  • “/agent-teams-simplify-and-harden”

Requirements

  • Node.js

Workflow steps

9 steps, taken from the step headings in SKILL.md.

  1. Create the Team
  2. Create Tasks
  3. Spawn Implementation Agents
  4. Wait for Implementation to Complete
  5. Spawn Audit Agents
  6. Process Audit Findings
  7. Loop
  8. Final Verification and Summary
  9. Cleanup

What it can do on your machine

Read from SKILL.md and the folder at commit e5199b5. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • npx
    • git

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md. Its commands use npx and git, which can reach the network depending on how they are called.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Agent Teams Simplify And Harden loads about 5.1k tokens when it runs. Until then it costs about 137 tokens; SKILL.md has 1,045 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~137
When it runs · the whole SKILL.md, loaded when a task matches
~5.1k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from LeoYeAI/openclaw-master-skills at commit e5199b5, republished under its MIT licence (© LeoYeAI). 1,045 words, ~5,057 tokens.

Download SKILL.mdSave it as .claude/skills/agent-teams-simplify-and-harden/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
agent-teams-simplify-and-harden
description
Implementation + audit loop using parallel agent teams with structured simplify, harden, and document passes. Spawns implementation agents to do the work, then audit agents to find complexity, security gaps, and spec deviations, then loops until code compiles cleanly, all tests pass, and auditors find zero issues or the loop cap is reached. Use when: implementing features from a spec or plan, hardening existing code, fixing a batch of issues, or any multi-file task that benefits from a build-verify-fix cycle.

Agent Teams Simplify & Harden

Install

bash
npx skills add pskoett/pskoett-ai-skills/agent-teams-simplify-and-harden

A two-phase team loop that produces production-quality code: implement, then audit using simplify + harden passes, then fix audit findings, then re-audit, repeating until the codebase is solid or the loop cap is reached.

When to Use

  • Implementing multiple features from a spec or plan
  • Hardening a codebase after a batch of changes
  • Fixing a list of issues or gaps identified in a review
  • Any task touching 5+ files where quality gates matter

The Pattern

┌──────────────────────────────────────────────────────────┐
│                  TEAM LEAD (you)                          │
│                                                           │
│  Phase 1: IMPLEMENT (+ document pass on fix rounds)       │
│  ┌──────────┐ ┌──────────┐ ┌──────────┐                 │
│  │ impl-1   │ │ impl-2   │ │ impl-3   │  ...            │
│  │ (general │ │ (general │ │ (general │                 │
│  │ purpose) │ │ purpose) │ │ purpose) │                 │
│  └──────────┘ └──────────┘ └──────────┘                 │
│       │             │            │                        │
│       ▼             ▼            ▼                        │
│  ┌─────────────────────────────────────┐                 │
│  │  Verify: compile + tests            │                 │
│  └─────────────────────────────────────┘                 │
│       │                                                   │
│  Phase 2: SIMPLIFY & HARDEN AUDIT                         │
│  ┌──────────┐ ┌──────────┐ ┌──────────┐                 │
│  │ simplify │ │ harden   │ │ spec     │  ...            │
│  │ auditor  │ │ auditor  │ │ auditor  │                 │
│  │ (Explore)│ │ (Explore)│ │ (Explore)│                 │
│  └──────────┘ └──────────┘ └──────────┘                 │
│       │             │            │                        │
│       ▼             ▼            ▼                        │
│  Exit conditions met?                                     │
│    YES → Produce summary. Ship it.                        │
│    NO  → back to Phase 1 with findings as tasks           │
│          (max 3 audit rounds)                             │
└──────────────────────────────────────────────────────────┘

Loop Limits and Exit Conditions

The loop exits when ANY of these are true:

  1. Clean audit: All auditors report zero findings
  2. Low-only round: All findings in a round are severity low -- fix them inline (team lead or a single impl agent) and exit without re-auditing
  3. Loop cap reached: 3 audit rounds have completed. After the third round, fix remaining critical/high findings inline and exit. Log any unresolved medium/low findings in the final summary.

Budget guidance: Track the cumulative diff growth across rounds. If fix rounds have added more than 30% on top of the original implementation diff, tighten the scope: skip medium/low simplify findings and focus only on harden patches and spec gaps.

Step-by-Step Procedure

1. Create the Team
TeamCreate:
  team_name: "<project>-harden"
  description: "Implement and harden <description>"
2. Create Tasks

Break the work into discrete, parallelizable tasks. Each task should be independent enough for one agent to complete without blocking on others.

TaskCreate for each unit of work:
  subject: "Implement <specific thing>"
  description: "Detailed requirements, file paths, acceptance criteria"
  activeForm: "Implementing <thing>"

Set up dependencies if needed:

TaskUpdate: { taskId: "2", addBlockedBy: ["1"] }
3. Spawn Implementation Agents

Spawn general-purpose agents (they can read, write, and edit files). One per task or one per logical group. Run them in parallel.

Task tool (spawn teammate):
  subagent_type: general-purpose
  team_name: "<project>-harden"
  name: "impl-<area>"
  mode: bypassPermissions
  prompt: |
    You are an implementation agent on the <project>-harden team.
    Your name is impl-<area>.

    Check TaskList for your assigned tasks and complete them.
    After completing each task, mark it completed and check for more.

    Quality gates:
    - Code must compile cleanly (substitute your project's compile
      command, e.g. bunx tsc --noEmit, cargo build, go build ./...)
    - Tests must pass (substitute your project's test command,
      e.g. bun test, pytest, go test ./...)
    - Follow existing code patterns and conventions

    When all your tasks are done, notify the team lead.
4. Wait for Implementation to Complete

Monitor agent messages. When all implementation agents report done:

  1. Run compile/type checks to verify clean build
  2. Run tests to verify all pass
  3. If either fails, fix or assign fixes before proceeding

Before spawning auditors, collect the list of files modified in this session:

bash
git diff --name-only <base-branch>  # or: git diff --name-only HEAD~N

You will pass this file list to each auditor.

5. Spawn Audit Agents

Spawn Explore agents (read-only -- they cannot edit files, which prevents them from "fixing" issues silently). Each auditor covers a different concern using the Simplify & Harden methodology.

Recommended audit dimensions:

AuditorFocusMindset
simplify-auditorCode clarity and unnecessary complexity"Is there a simpler way to express this?"
harden-auditorSecurity and resilience gaps"If someone malicious saw this, what would they try?"
spec-auditorImplementation vs spec/plan completeness"Does the code match what was asked for?"
Simplify Auditor
Task tool (spawn teammate):
  subagent_type: Explore
  team_name: "<project>-harden"
  name: "simplify-auditor"
  prompt: |
    You are a simplify auditor on the <project>-harden team.
    Your name is simplify-auditor.

    Your job is to find unnecessary complexity -- NOT fix it. You are
    read-only.

    SCOPE: Only review the following files (modified in this session).
    Do NOT flag issues in other files, even if you notice them.
    Files to review:
    <paste file list here>

    Fresh-eyes start (mandatory): Before reporting findings, re-read all
    listed changed code with "fresh eyes" and actively look for obvious
    bugs, errors, confusing logic, brittle assumptions, naming issues,
    and missed hardening opportunities.

    Review each file and check for:

    1. Dead code and scaffolding -- debug logs, commented-out attempts,
       unused imports, temporary variables left from iteration
    2. Naming clarity -- function names, variables, and parameters that
       don't read clearly when seen fresh
    3. Control flow -- nested conditionals that could be flattened, early
       returns that could replace deep nesting, boolean expressions that
       could be simplified
    4. API surface -- public methods/functions that should be private,
       more exposure than necessary
    5. Over-abstraction -- classes, interfaces, or wrapper functions not
       justified by current scope. Agents tend to over-engineer.
    6. Consolidation -- logic spread across multiple functions/files that
       could live in one place

    For each finding, categorize as:
    - **Cosmetic** (dead code, unused imports, naming, control flow,
      visibility reduction) -- low risk, easy fix
    - **Refactor** (consolidation, restructuring, abstraction changes)
      -- only flag when genuinely necessary, not just "slightly better."
      The bar: would a senior engineer say the current state is clearly
      wrong, not just imperfect?

    For each finding report:
    1. File and line number
    2. Category (cosmetic or refactor)
    3. What's wrong
    4. What it should be (specific fix, not vague)
    5. Severity: high / medium / low

    If you notice issues outside the scoped files, list them separately
    under "Out-of-scope observations" at the end.

    Be thorough within scope. Check every listed file.
    When done, send your complete findings to the team lead.
    If you find ZERO in-scope issues, say so explicitly.
Harden Auditor
Task tool (spawn teammate):
  subagent_type: Explore
  team_name: "<project>-harden"
  name: "harden-auditor"
  prompt: |
    You are a security/harden auditor on the <project>-harden team.
    Your name is harden-auditor.

    Your job is to find security and resilience gaps -- NOT fix them.
    You are read-only.

    SCOPE: Only review the following files (modified in this session).
    Do NOT flag issues in other files, even if you notice them.
    Files to review:
    <paste file list here>

    Fresh-eyes start (mandatory): Before reporting findings, re-read all
    listed changed code with "fresh eyes" and actively look for obvious
    bugs, errors, confusing logic, brittle assumptions, naming issues,
    and missed hardening opportunities.

    Review each file and check for:

    1. Input validation -- unvalidated external inputs (user input, API
       params, file paths, env vars), type coercion issues, missing
       bounds checks, unconstrained string lengths
    2. Error handling -- non-specific catch blocks, errors logged without
       context, swallowed exceptions, sensitive data in error messages
    3. Injection vectors -- SQL injection, XSS, command injection, path
       traversal, template injection in string-building code
    4. Auth and authorization -- endpoints or functions missing auth,
       incorrect permission checks, privilege escalation risks
    5. Secrets and credentials -- hardcoded secrets, API keys, tokens,
       credentials in log output, unparameterized connection strings
    6. Data exposure -- internal state in error output, stack traces in
       responses, PII in logs, database schemas leaked
    7. Dependency risk -- new dependencies that are unmaintained, poorly
       versioned, or have known vulnerabilities
    8. Race conditions -- unsynchronized shared resources, TOCTOU
       vulnerabilities in concurrent code

    For each finding, categorize as:
    - **Patch** (adding validation, escaping output, removing a secret)
      -- straightforward fix
    - **Security refactor** (restructuring auth flow, replacing a
      vulnerable pattern) -- requires structural changes

    For each finding report:
    1. File and line number
    2. Category (patch or security refactor)
    3. What's wrong
    4. Severity: critical / high / medium / low
    5. Attack vector (if applicable)
    6. Specific fix recommendation

    If you notice issues outside the scoped files, list them separately
    under "Out-of-scope observations" at the end.

    Be thorough within scope. Check every listed file.
    When done, send your complete findings to the team lead.
    If you find ZERO in-scope issues, say so explicitly.
Spec Auditor
Task tool (spawn teammate):
  subagent_type: Explore
  team_name: "<project>-harden"
  name: "spec-auditor"
  prompt: |
    You are a spec auditor on the <project>-harden team.
    Your name is spec-auditor.

    Your job is to find gaps between implementation and spec/plan --
    NOT fix them. You are read-only.

    SCOPE: Only review the following files (modified in this session).
    Do NOT flag issues in other files, even if you notice them.
    Files to review:
    <paste file list here>

    Fresh-eyes start (mandatory): Before reporting findings, re-read all
    listed changed code with "fresh eyes" and actively look for obvious
    bugs, errors, confusing logic, brittle assumptions, and
    implementation/spec mismatches before running the spec checklist.

    Review each file against the spec/plan and check for:

    1. Missing features -- spec requirements that have no corresponding
       implementation
    2. Incorrect behavior -- logic that contradicts what the spec
       describes (wrong conditions, wrong outputs, wrong error handling)
    3. Incomplete implementation -- features that are partially built
       but missing edge cases, error paths, or configuration the spec
       requires
    4. Contract violations -- API shapes, response formats, status
       codes, or error messages that don't match the spec
    5. Test coverage -- untested code paths, missing edge case tests,
       assertions that don't verify enough, happy-path-only testing
    6. Acceptance criteria gaps -- spec conditions that aren't verified
       by any test

    For each finding, categorize as:
    - **Missing** -- feature or behavior not implemented at all
    - **Incorrect** -- implemented but wrong
    - **Incomplete** -- partially implemented, gaps remain
    - **Untested** -- implemented but no test coverage

    For each finding report:
    1. File and line number (or "N/A -- not implemented")
    2. Category (missing, incorrect, incomplete, untested)
    3. What the spec requires (quote or reference the spec)
    4. What the implementation does (or doesn't do)
    5. Severity: critical / high / medium / low

    If you notice issues outside the scoped files, list them separately
    under "Out-of-scope observations" at the end.

    Be thorough within scope. Cross-reference every spec requirement.
    When done, send your complete findings to the team lead.
    If you find ZERO in-scope issues, say so explicitly.
6. Process Audit Findings

Collect findings from all auditors. For each finding:

  • Critical/High: Create a task and assign to an implementation agent
  • Medium: Create a task, include in next implementation round
  • Low/Cosmetic: Include in next round only if trivial to fix; otherwise note in the final summary and skip

Refactor gate: For findings categorized as refactor or security refactor, evaluate whether the refactor is genuinely necessary before creating a task. The bar: "Would a senior engineer say the current state is clearly wrong, not just imperfect?" Reject refactor proposals that are style preferences or marginal improvements.

Exit check: If all findings in this round are severity low, fix them inline and skip re-auditing (see Loop Limits).

When creating fix tasks, bundle a document pass into each implementation agent's work:

After fixing your assigned issues, add up to 5 single-line comments across the files you touched on non-obvious decisions:

  • Logic that needs more than 5 seconds of "why does this exist?" thought
  • Workarounds or hacks, with context and a TODO for removal conditions
  • Performance choices and why the current approach was picked

Do NOT comment on the audit fixes themselves -- only on decisions from the original implementation that lack explanation.

This keeps the document pass lightweight and scoped. Auditors in subsequent rounds should not flag these comments as findings.

Show full SKILL.md (426 more words)Show less
7. Loop

If there are findings to fix:

  1. Create tasks from findings (include document pass instructions)
  2. Spawn implementation agents (or reuse idle ones via SendMessage)
  3. Wait for fixes
  4. Run compile + test verification
  5. Check loop limits (see "Loop Limits and Exit Conditions")
  6. If not exiting: spawn audit agents again (fresh agents, not reused -- clean context)
  7. Repeat
8. Final Verification and Summary

When exit conditions are met:

  1. Compile / type check -- must be clean
  2. Tests -- must all pass
  3. No // TODO or // FIXME comments introduced without corresponding tasks

Produce a final summary for the session:

## Hardening Summary

**Audit rounds completed:** 2 of 3 max
**Exit reason:** Clean audit (all auditors reported zero findings)

### Findings by round

Round 1:
- simplify-auditor: 4 cosmetic, 1 refactor (rejected -- style preference)
- harden-auditor: 2 patches, 1 security refactor (approved)
- spec-auditor: 1 missing feature

Round 2:
- simplify-auditor: 0 findings
- harden-auditor: 0 findings
- spec-auditor: 0 findings

### Actions taken
- Fixed: 6 findings (4 cosmetic, 2 patches, 1 security refactor, 1 missing feature -- rejected refactor excluded)
- Skipped: 1 refactor proposal (reason: style preference, not a defect)
- Document pass: 3 comments added across 2 files

### Unresolved
- None

### Out-of-scope observations
- <any out-of-scope items auditors flagged, for future reference>

Adapt the format to your context. The goal is a clear record of what was found, what was fixed, what was skipped and why, and what remains.

9. Cleanup

Send shutdown requests to all agents, then delete the team:

SendMessage type: shutdown_request to each agent
TeamDelete

Agent Sizing Guide

Codebase / Task SizeImpl AgentsAudit Agents
Small (< 10 files)1-22 (simplify + harden)
Medium (10-30 files)2-32-3
Large (30+ files)3-53 (simplify + harden + spec)

More agents = more parallelism but more coordination overhead. For most tasks, 2-3 implementation agents and 2-3 auditors is the sweet spot.

Tips

  • Implementation agents should be general-purpose -- they need write access
  • Audit agents should be Explore -- read-only prevents them from silently "fixing" things, which defeats the purpose of auditing
  • Fresh audit agents each round -- don't reuse auditors from previous rounds; they carry context that biases them toward "already checked" areas
  • Task descriptions must be specific -- include file paths, function names, exact behavior expected. Vague tasks produce vague implementations.
  • Run compile + tests between phases -- don't spawn auditors on broken code; fix compilation/test errors first
  • Keep the loop tight -- if auditors find only 1-2 low-severity cosmetic issues, fix them yourself instead of spawning a full implementation round
  • Assign tasks before spawning -- set owner on tasks via TaskUpdate so agents know what to work on immediately
  • Simplify-first posture -- when processing audit findings, prioritize cosmetic cleanups that reduce noise before tackling refactors. Cleanup is the default, refactoring is the exception
  • Security over style -- when budget or time is constrained, prioritize harden findings over simplify findings
  • Pass the file list -- always give auditors the explicit list of modified files. Don't rely on them figuring out scope on their own.

Example: Implementing Spec Features

1.  Read spec, identify 8 features to implement
2.  TeamCreate: "feature-harden"
3.  TaskCreate x8 (one per feature)
4.  Spawn 3 impl agents, assign ~3 tasks each
5.  Wait → all done → compile clean → tests pass
6.  Collect modified file list (git diff --name-only)
7.  Spawn 3 auditors: simplify-auditor, harden-auditor, spec-auditor
8.  Simplify-auditor finds 4 cosmetic + 1 refactor proposal
9.  Harden-auditor finds 2 patches + 1 security refactor
10. Spec-auditor finds 1 missing feature
11. Team lead evaluates refactors (approve security refactor,
    reject simplify refactor), creates fix + document tasks
12. Spawn 2 impl agents for fixes
13. Wait → compile clean → tests pass
14. Round 2: Spawn 3 fresh auditors
15. Auditors find 0 issues → exit condition met
16. Produce hardening summary
17. Shutdown agents, TeamDelete

Quality Gates (Non-Negotiable)

These must pass before the loop can exit:

  1. Clean compile / type check -- zero errors
  2. Tests -- zero failures
  3. Exit condition met (clean audit, low-only round, or loop cap reached with critical/high findings resolved)
  4. No // TODO or // FIXME comments introduced without corresponding tasks

© LeoYeAI, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 1 other file in skills/agent-teams-simplify-and-harden of LeoYeAI/openclaw-master-skills.

  • SKILL.md
  • _meta.json

Open the folder on GitHubat commit e5199b5

Compare with similar skills

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Agent Teams Simplify And Harden compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
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Subagent Driven DevelopmentAsvarox/allkaraoke26138 repos~1.2kAutomated safety check: PassNone
Dispatching Parallel Agentsultralisp/ultralisp25841 repos~1.5kAutomated safety check: PassNone
Reflect on Session Learningscursor/plugins11k5 repos~1.2kAutomated safety check: PassNone
Paseo Advisor Second Opiniongetpaseo/paseo20k1 repos~756Automated safety check: PassCustom licence

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Questions about Agent Teams Simplify And Harden

What does Agent Teams Simplify And Harden do?

Implementation + audit loop using parallel agent teams with structured simplify, harden, and document passes. Agent Teams Simplify And Harden is an agent skill from LeoYeAI/openclaw-master-skills. Implementation + audit loop using parallel agent teams with structured simplify, harden, and document passes.

When should I use Agent Teams Simplify And Harden?

Agent Teams Simplify And Harden fits situations like: : implementing features from a spec; hardening existing code; fixing a batch of issues; any multi-file task that benefits from a build-verify-fix cycle.

How do I install Agent Teams Simplify And Harden in Claude Code?

Run `npx skills add LeoYeAI/openclaw-master-skills --skill agent-teams-simplify-and-harden -a claude-code`. Or copy the skill folder (skills/agent-teams-simplify-and-harden in LeoYeAI/openclaw-master-skills) into .claude/skills/agent-teams-simplify-and-harden in your project. Claude Code loads it when a task matches its description.

How do I install Agent Teams Simplify And Harden in Codex?

Run `npx skills add LeoYeAI/openclaw-master-skills --skill agent-teams-simplify-and-harden -a codex`. Or copy the skill folder (skills/agent-teams-simplify-and-harden in LeoYeAI/openclaw-master-skills) into .agents/skills/agent-teams-simplify-and-harden in your project. Codex loads it when a task matches its description.

Can I use Agent Teams Simplify And Harden in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add LeoYeAI/openclaw-master-skills --skill agent-teams-simplify-and-harden -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/agent-teams-simplify-and-harden, .gemini/skills/agent-teams-simplify-and-harden, .github/skills/agent-teams-simplify-and-harden and .opencode/skills/agent-teams-simplify-and-harden in your project.

What does Agent Teams Simplify And Harden need to run?

Going by SKILL.md and its folder, Agent Teams Simplify And Harden needs the command-line tools its instructions call (npx and git). Our summary lists: Node.js.

Does Agent Teams Simplify And Harden access the network?

SKILL.md contains no URLs. Its commands use npx and git, which can reach the network depending on how they are called. This is read from the text; nothing was executed.

Is Agent Teams Simplify And Harden safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Agent Teams Simplify And Harden use?

Agent Teams Simplify And Harden is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Agent Teams Simplify And Harden use?

About 5.1k tokens (SKILL.md is roughly 20k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Agent Teams Simplify And Harden?

Skills that share tags, products or a category with Agent Teams Simplify And Harden: Claude Code Agent Development (anthropics/claude-plugins-official, 38k stars), Subagent Driven Development (Asvarox/allkaraoke, 261 stars), Dispatching Parallel Agents (ultralisp/ultralisp, 258 stars) and Reflect on Session Learnings (cursor/plugins, 11k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Agent Teams Simplify And Harden?

LeoYeAI (a GitHub user) maintains it in LeoYeAI/openclaw-master-skills, which has 2,161 GitHub stars. The repository holds 1,235 skills in this directory. The repository was last updated on July 20, 2026.

Source: LeoYeAI/openclaw-master-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.