hoodini/ai-agents-skills

honest-agent

Detect installed AI coding agents and append honest-feedback rules to their instruction files.

Zobacz źródło

Jak używać

  1. Skopiuj polecenie instalacji i sprawdź źródła przed instalacją we własnym środowisku agenta.
  2. W oryginale sprawdź wymagane narzędzia, dane dostępowe i obsługiwane środowiska.
  3. Opisz dane wejściowe i oczekiwany rezultat; porównaj wynik ze źródłami.
npx skills add https://github.com/hoodini/ai-agents-skills --skill honest-agent

Przed rozpoczęciem

  • Instalacja nie obejmuje subskrypcji modelu, limitu API ani uprawnień do plików.
  • Gwiazdki i instalacje pokazują aktywność, a nie niezależny test jakości lub bezpieczeństwa.
Oryginalny dokument Skill

Treść z repozytorium z zachowaniem nagłówków, przykładów, kodu, tabel, linków i obrazów.

Honest Agent Configuration

One-time setup skill: detects your AI coding agents and appends honesty directives to their instruction files.

Safety Rule: Append Only

Never overwrite existing instruction files. Always read the file first (if it exists), then append the new configuration to the end. If the file does not exist, create it. This rule applies to every step below.

Supported Agents

AgentProject FileGlobal File
Claude Code.claude/CLAUDE.md~/.claude/CLAUDE.md
GitHub Copilot.github/copilot-instructions.md-
Cursor.cursorrules~/.cursor/rules/
Windsurf.windsurfrules-
Cline.clinerules-
AiderCONVENTIONS.md~/.aider.conf.yml
Continue.dev.continuerules~/.continue/config.json

Workflow

Step 1: Detect Agents

Scan the project root for each file in the table above. Record which files exist and which agents are present.

Step 2: Ask Scope

Prompt the user to choose:

  • Project-level -- current project only
  • Global-level -- all projects (where the agent supports it)
  • Both

Step 3: Append Configuration

For each detected agent, read the existing file, then append the appropriate block below.

Markdown agents (Claude Code, Copilot, Cline, Continue.dev):

markdown
## Communication & Feedback Style

- **Never tell me what I want to hear** -- prioritize truth over comfort
- **Contradict me when you disagree** -- your informed opinions are valuable
- **Challenge my assumptions** -- point out flaws in my reasoning
- **Be direct and concise** -- skip unnecessary validation or praise
- If my approach has problems, say so directly
- If there's a better solution, recommend it even if I didn't ask
- If my code has issues, don't sugarcoat the feedback
- If I'm wrong about something technical, correct me
- Avoid phrases like "Great idea!" unless genuinely warranted

Plain-text agents (Cursor .cursorrules, Windsurf .windsurfrules):

Be honest, objective, and willing to disagree. Never be sycophantic.
- Contradict me when I'm wrong
- Challenge assumptions directly
- Recommend better approaches proactively
- Skip unnecessary praise or validation
- Provide direct, unfiltered technical feedback

Aider (CONVENTIONS.md):

markdown
# Communication Style
Be honest and direct. Contradict me when you disagree. Challenge flawed assumptions. Skip unnecessary praise.

Step 4: Report Results

Summarize what was done:

  1. Which files were created vs. appended to
  2. Which agents are now configured
  3. Remind the user to restart their IDE or agent session for changes to take effect

Example

User: "Set up honest agent"

  1. Agent scans project -- finds .claude/CLAUDE.md (50 lines) and .github/copilot-instructions.md (20 lines).
  2. Asks scope. User picks "Both".
  3. Reads each file, appends the markdown config block to the end.
  4. Reports: "Appended honesty directives to 2 existing files (Claude Code, GitHub Copilot). Existing content preserved. Restart your IDE for changes to take effect."

References

Powiązane zadania

z tego samego repozytorium

Więcej Skills

Wszystkie Skills
hoodini
Społeczność

aws-account-management

Manage AWS accounts, organizations, IAM, and billing. Use when setting up AWS Organizations, managing IAM policies, controlling costs, or implementing multi-account strategies. Triggers on AWS Organizations, AWS IAM, AWS billing, Cost Explorer, SCPs, multi-account, AWS SSO, Identity Center.

instalacje
1
GitHub Stars
287
Aktualizacja
11 lip
hoodini
Społeczność

aws-harness

Build a new AI agent on AWS and deploy it easily, OR wrap and deploy an agent you already have, using the Amazon Bedrock AgentCore harness. Explains what an "agent harness" is (the runtime scaffolding around a model - agent loop, tool execution, memory, identity, observability), then gives two fully-working, verified paths - (A) scaffold + ship a new agent with the AgentCore CLI (create/dev/deploy/invoke), and (B) deploy a prepared agent (Strands, LangGraph, or custom) via the SDK wrapper or a F

instalacje
1
GitHub Stars
287
Aktualizacja
11 lip
hoodini
Społeczność

aws-strands

Build AI agents with the Strands Agents SDK - the open-source framework (the agent "brain") for writing agent logic, tools, and multi-agent systems in Python. Model-agnostic, AWS Bedrock by default. Covers Agent, the @tool decorator, model providers (BedrockModel), multi-agent patterns (agents-as-tools, Swarm, Graph), conversation management, and streaming. Every import verified against official Strands docs. To DEPLOY a Strands agent on AWS, use the aws-harness skill. Triggers on Strands, Stran

instalacje
1
GitHub Stars
287
Aktualizacja
11 lip
hoodini
Społeczność

bun

Build fast applications with Bun JavaScript runtime. Use when creating Bun projects, using Bun APIs, bundling, testing, or optimizing Node.js alternatives. Triggers on Bun, Bun runtime, bun.sh, bunx, Bun serve, Bun test, JavaScript runtime.

instalacje
1
GitHub Stars
287
Aktualizacja
11 lip