From fed84dcdabcf4b36b2d43f69b668cdf15d60ca20 Mon Sep 17 00:00:00 2001 From: kriptoburak Date: Tue, 23 Jun 2026 02:40:32 +0300 Subject: [PATCH 1/2] Add TweetClaw OpenClaw routing --- docs/README.skills.md | 4 ++-- skills/aws-cloudwatch-investigation/SKILL.md | 2 +- skills/x-twitter-scraper/SKILL.md | 15 +++++++++++++-- 3 files changed, 16 insertions(+), 5 deletions(-) diff --git a/docs/README.skills.md b/docs/README.skills.md index 789e7eca7..b327a06cd 100644 --- a/docs/README.skills.md +++ b/docs/README.skills.md @@ -59,8 +59,8 @@ See [CONTRIBUTING.md](../CONTRIBUTING.md#adding-skills) for guidelines on how to | [audit-integrity](../skills/audit-integrity/SKILL.md)
`gh skills install github/awesome-copilot audit-integrity` | Shared audit integrity framework for all AppSec agents — enforces output quality, intellectual honesty, and continuous improvement through anti-rationalization guards, self-critique loops, retry protocols, non-negotiable behaviors, self-reflection quality gates (1-10 scoring, ≥8 threshold), and a self-learning system with lesson/memory governance for security analysis agents. | `references/anti-rationalization-guard.md`
`references/clarification-protocol.md`
`references/non-negotiable-behaviors.md`
`references/retry-protocol.md`
`references/self-critique-loop.md`
`references/self-learning-system.md`
`references/self-reflection-quality-gate.md` | | [automate-this](../skills/automate-this/SKILL.md)
`gh skills install github/awesome-copilot automate-this` | Analyze a screen recording of a manual process and produce targeted, working automation scripts. Extracts frames and audio narration from video files, reconstructs the step-by-step workflow, and proposes automation at multiple complexity levels using tools already installed on the user machine. | None | | [autoresearch](../skills/autoresearch/SKILL.md)
`gh skills install github/awesome-copilot autoresearch` | Autonomous iterative experimentation loop for any programming task. Guides the user through defining goals, measurable metrics, and scope constraints, then runs an autonomous loop of code changes, testing, measuring, and keeping/discarding results. Inspired by Karpathy's autoresearch. USE FOR: autonomous improvement, iterative optimization, experiment loop, auto research, performance tuning, automated experimentation, hill climbing, try things automatically, optimize code, run experiments, autonomous coding loop. DO NOT USE FOR: one-shot tasks, simple bug fixes, code review, or tasks without a measurable metric. | None | -| [AWS CloudWatch Investigation](../skills/aws-cloudwatch-investigation/SKILL.md)
`gh skills install github/awesome-copilot aws-cloudwatch-investigation` | Reusable investigation patterns for AWS CloudWatch: Logs Insights query templates, alarm-to-deployment correlation, blast-radius narrowing decision tree, and PromQL-style metric query patterns for structured incident triage. | None | | [aws-cdk-python-setup](../skills/aws-cdk-python-setup/SKILL.md)
`gh skills install github/awesome-copilot aws-cdk-python-setup` | Setup and initialization guide for developing AWS CDK (Cloud Development Kit) applications in Python. This skill enables users to configure environment prerequisites, create new CDK projects, manage dependencies, and deploy to AWS. | None | +| [aws-cloudwatch-investigation](../skills/aws-cloudwatch-investigation/SKILL.md)
`gh skills install github/awesome-copilot aws-cloudwatch-investigation` | Reusable investigation patterns for AWS CloudWatch: Logs Insights query templates, alarm-to-deployment correlation, blast-radius narrowing decision tree, and PromQL-style metric query patterns for structured incident triage. | None | | [aws-cost-optimize](../skills/aws-cost-optimize/SKILL.md)
`gh skills install github/awesome-copilot aws-cost-optimize` | Analyze AWS resources used in the app (IaC files and/or resources in a target account/region) and optimize costs - creating GitHub issues for identified optimizations. | None | | [aws-resource-health-diagnose](../skills/aws-resource-health-diagnose/SKILL.md)
`gh skills install github/awesome-copilot aws-resource-health-diagnose` | Analyze AWS resource health, diagnose issues from CloudWatch logs and metrics, and create a remediation plan for identified problems. | None | | [aws-resource-query](../skills/aws-resource-query/SKILL.md)
`gh skills install github/awesome-copilot aws-resource-query` | Query AWS resources using natural language. Covers EC2, S3, RDS, Lambda, ECS, EKS, Secrets Manager, IAM, VPC, networking, messaging, and more. Strictly read-only — no writes, deletes, or mutations. | None | @@ -391,4 +391,4 @@ See [CONTRIBUTING.md](../CONTRIBUTING.md#adding-skills) for guidelines on how to | [winui3-migration-guide](../skills/winui3-migration-guide/SKILL.md)
`gh skills install github/awesome-copilot winui3-migration-guide` | UWP-to-WinUI 3 migration reference. Maps legacy UWP APIs to correct Windows App SDK equivalents with before/after code snippets. Covers namespace changes, threading (CoreDispatcher to DispatcherQueue), windowing (CoreWindow to AppWindow), dialogs, pickers, sharing, printing, background tasks, and the most common Copilot code generation mistakes. | None | | [workiq-copilot](../skills/workiq-copilot/SKILL.md)
`gh skills install github/awesome-copilot workiq-copilot` | Guides the Copilot CLI on how to use the WorkIQ CLI/MCP server to query Microsoft 365 Copilot data (emails, meetings, docs, Teams, people) for live context, summaries, and recommendations. | None | | [write-coding-standards-from-file](../skills/write-coding-standards-from-file/SKILL.md)
`gh skills install github/awesome-copilot write-coding-standards-from-file` | Write a coding standards document for a project using the coding styles from the file(s) and/or folder(s) passed as arguments in the prompt. | None | -| [x-twitter-scraper](../skills/x-twitter-scraper/SKILL.md)
`gh skills install github/awesome-copilot x-twitter-scraper` | Build GitHub Copilot workflows with Xquik X API SDKs, REST endpoints, MCP tools, signed webhooks, tweet search, user lookup, follower exports, media actions, and agent automation. | None | +| [x-twitter-scraper](../skills/x-twitter-scraper/SKILL.md)
`gh skills install github/awesome-copilot x-twitter-scraper` | Build GitHub Copilot workflows with Xquik X API SDKs, REST endpoints, MCP tools, TweetClaw OpenClaw plugin installs, signed webhooks, tweet search, user lookup, follower exports, media actions, and agent automation. | None | diff --git a/skills/aws-cloudwatch-investigation/SKILL.md b/skills/aws-cloudwatch-investigation/SKILL.md index 1b25503f9..ad433312b 100644 --- a/skills/aws-cloudwatch-investigation/SKILL.md +++ b/skills/aws-cloudwatch-investigation/SKILL.md @@ -1,5 +1,5 @@ --- -name: AWS CloudWatch Investigation +name: aws-cloudwatch-investigation description: > Reusable investigation patterns for AWS CloudWatch: Logs Insights query templates, alarm-to-deployment correlation, blast-radius narrowing decision tree, and diff --git a/skills/x-twitter-scraper/SKILL.md b/skills/x-twitter-scraper/SKILL.md index 3e3db70d5..d64082d8a 100644 --- a/skills/x-twitter-scraper/SKILL.md +++ b/skills/x-twitter-scraper/SKILL.md @@ -1,6 +1,6 @@ --- name: x-twitter-scraper -description: 'Build GitHub Copilot workflows with Xquik X API SDKs, REST endpoints, MCP tools, signed webhooks, tweet search, user lookup, follower exports, media actions, and agent automation.' +description: 'Build GitHub Copilot workflows with Xquik X API SDKs, REST endpoints, MCP tools, TweetClaw OpenClaw plugin installs, signed webhooks, tweet search, user lookup, follower exports, media actions, and agent automation.' --- # X Twitter Scraper @@ -15,6 +15,7 @@ Use this skill when a user wants to integrate Xquik into an app, script, data pi - Create account monitors and verify HMAC-signed webhook events. - Add TypeScript, Python, Go, Java, Kotlin, C#, Ruby, PHP, CLI, or Terraform clients. - Connect agent runtimes through the Xquik MCP server. +- Install TweetClaw when the workflow belongs inside OpenClaw and needs plugin-managed approvals for X account actions. ## Source Checks @@ -25,13 +26,15 @@ Before writing code, inspect the current Xquik source material: - OpenAPI spec: https://xquik.com/openapi.json - MCP server docs: https://docs.xquik.com/mcp/overview - Skill repo: https://github.com/Xquik-dev/x-twitter-scraper +- TweetClaw OpenClaw plugin: https://github.com/Xquik-dev/tweetclaw +- TweetClaw npm registry metadata: https://registry.npmjs.org/@xquik%2Ftweetclaw Do not invent endpoint names, request fields, response fields, scopes, pricing, limits, or package names. Read the relevant SDK README and API reference page first. ## Implementation Flow 1. Identify the workflow: search, lookup, extraction, monitor, webhook, media, write action, billing, or MCP. -2. Choose the integration surface: generated SDK for application code, REST for custom clients, MCP for agents, or webhooks for event delivery. +2. Choose the integration surface: generated SDK for application code, REST for custom clients, MCP for agents, TweetClaw for OpenClaw plugin workflows, or webhooks for event delivery. 3. Confirm authentication requirements from the docs and use environment variables for API keys. 4. Use typed request and response models when an SDK exists for the user's language. 5. Add retries and pagination according to the SDK or API docs. @@ -65,6 +68,14 @@ When adding webhook handlers: Use the MCP server when the user wants an agent to explore or call Xquik tools directly. Keep application code on REST or SDK clients when the app needs stable typed contracts, tests, or internal abstractions. +## OpenClaw Plugin Pattern + +Use TweetClaw when the user is working in OpenClaw, wants installable plugin metadata, or needs an approval-reviewed path for account-changing X actions. Keep application services on REST or SDK clients when the project needs typed contracts, server-side abstractions, or long-lived backend jobs outside OpenClaw. + +Before suggesting install commands or tool names, read the TweetClaw README and package metadata. Do not assume the published npm version matches source HEAD. + +Treat create, reply, quote, like, bookmark, retweet, follow, delete, media, and monitor actions as approval-worthy unless the current TweetClaw docs state a narrower policy. Keep read-only tweet search, reply search, profile lookup, follower export, and evidence collection low risk, while still respecting rate limits and account authorization. + ## Safety And Accuracy - Keep language neutral and technical. From d9d8e13f7dd135216dbfaa610398d17f509a1c34 Mon Sep 17 00:00:00 2001 From: kriptoburak Date: Tue, 23 Jun 2026 05:17:11 +0300 Subject: [PATCH 2/2] Remove unrelated AWS skill change --- docs/README.skills.md | 2 +- skills/aws-cloudwatch-investigation/SKILL.md | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/docs/README.skills.md b/docs/README.skills.md index b327a06cd..361c6be64 100644 --- a/docs/README.skills.md +++ b/docs/README.skills.md @@ -59,8 +59,8 @@ See [CONTRIBUTING.md](../CONTRIBUTING.md#adding-skills) for guidelines on how to | [audit-integrity](../skills/audit-integrity/SKILL.md)
`gh skills install github/awesome-copilot audit-integrity` | Shared audit integrity framework for all AppSec agents — enforces output quality, intellectual honesty, and continuous improvement through anti-rationalization guards, self-critique loops, retry protocols, non-negotiable behaviors, self-reflection quality gates (1-10 scoring, ≥8 threshold), and a self-learning system with lesson/memory governance for security analysis agents. | `references/anti-rationalization-guard.md`
`references/clarification-protocol.md`
`references/non-negotiable-behaviors.md`
`references/retry-protocol.md`
`references/self-critique-loop.md`
`references/self-learning-system.md`
`references/self-reflection-quality-gate.md` | | [automate-this](../skills/automate-this/SKILL.md)
`gh skills install github/awesome-copilot automate-this` | Analyze a screen recording of a manual process and produce targeted, working automation scripts. Extracts frames and audio narration from video files, reconstructs the step-by-step workflow, and proposes automation at multiple complexity levels using tools already installed on the user machine. | None | | [autoresearch](../skills/autoresearch/SKILL.md)
`gh skills install github/awesome-copilot autoresearch` | Autonomous iterative experimentation loop for any programming task. Guides the user through defining goals, measurable metrics, and scope constraints, then runs an autonomous loop of code changes, testing, measuring, and keeping/discarding results. Inspired by Karpathy's autoresearch. USE FOR: autonomous improvement, iterative optimization, experiment loop, auto research, performance tuning, automated experimentation, hill climbing, try things automatically, optimize code, run experiments, autonomous coding loop. DO NOT USE FOR: one-shot tasks, simple bug fixes, code review, or tasks without a measurable metric. | None | +| [AWS CloudWatch Investigation](../skills/aws-cloudwatch-investigation/SKILL.md)
`gh skills install github/awesome-copilot aws-cloudwatch-investigation` | Reusable investigation patterns for AWS CloudWatch: Logs Insights query templates, alarm-to-deployment correlation, blast-radius narrowing decision tree, and PromQL-style metric query patterns for structured incident triage. | None | | [aws-cdk-python-setup](../skills/aws-cdk-python-setup/SKILL.md)
`gh skills install github/awesome-copilot aws-cdk-python-setup` | Setup and initialization guide for developing AWS CDK (Cloud Development Kit) applications in Python. This skill enables users to configure environment prerequisites, create new CDK projects, manage dependencies, and deploy to AWS. | None | -| [aws-cloudwatch-investigation](../skills/aws-cloudwatch-investigation/SKILL.md)
`gh skills install github/awesome-copilot aws-cloudwatch-investigation` | Reusable investigation patterns for AWS CloudWatch: Logs Insights query templates, alarm-to-deployment correlation, blast-radius narrowing decision tree, and PromQL-style metric query patterns for structured incident triage. | None | | [aws-cost-optimize](../skills/aws-cost-optimize/SKILL.md)
`gh skills install github/awesome-copilot aws-cost-optimize` | Analyze AWS resources used in the app (IaC files and/or resources in a target account/region) and optimize costs - creating GitHub issues for identified optimizations. | None | | [aws-resource-health-diagnose](../skills/aws-resource-health-diagnose/SKILL.md)
`gh skills install github/awesome-copilot aws-resource-health-diagnose` | Analyze AWS resource health, diagnose issues from CloudWatch logs and metrics, and create a remediation plan for identified problems. | None | | [aws-resource-query](../skills/aws-resource-query/SKILL.md)
`gh skills install github/awesome-copilot aws-resource-query` | Query AWS resources using natural language. Covers EC2, S3, RDS, Lambda, ECS, EKS, Secrets Manager, IAM, VPC, networking, messaging, and more. Strictly read-only — no writes, deletes, or mutations. | None | diff --git a/skills/aws-cloudwatch-investigation/SKILL.md b/skills/aws-cloudwatch-investigation/SKILL.md index ad433312b..1b25503f9 100644 --- a/skills/aws-cloudwatch-investigation/SKILL.md +++ b/skills/aws-cloudwatch-investigation/SKILL.md @@ -1,5 +1,5 @@ --- -name: aws-cloudwatch-investigation +name: AWS CloudWatch Investigation description: > Reusable investigation patterns for AWS CloudWatch: Logs Insights query templates, alarm-to-deployment correlation, blast-radius narrowing decision tree, and