install-waggle
Install the official Waggle plugin locally for Codex from the latest stable Abhigyan-Shekhar/Waggle-mcp GitHub Release.
Skill by Abhigyan-Shekhar
Chalk Labs
Need help deploying install-waggle?
Chalk Labs sets up agents like this inside real teams: connected to your tools, tested on your data, with a human in the loop where it matters.
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/abhigyan-shekhar-install-waggle
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
Get the weekly diff
The weekly diff: one email a week with new agent tools, notable updates and grade changes, plus security alerts for tools you follow. Double opt-in, one-click unsubscribe.
About
Use cases: agent-building
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
Permissions
What this skill can do and what it asks for, from its SKILL.md and code. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
- Runs as
- Python package
Network hosts it talks to 3
api.github.com· found in codecodeload.github.com· found in install commandgithub.com· found in code
Files it touches
~/.claude/skills/install-waggle- Your home directory (~)
What's inside
- Skill name
install-waggle- Description
- Install the official Waggle plugin locally for Codex from the latest stable Abhigyan-Shekhar/Waggle-mcp GitHub Release. Use for explicit requests such as "Install Waggle", "Set up Waggle", "Install Waggle for Codex", or "Enable Waggle". Do not use for Waggle operation, repair, updates, configuration, or memory workflows.
- License
- Apache-2.0
- Instructions
- 15 lines in SKILL.md · view on GitHub
Before installing
- Ships executable scripts
Files (2)
- SKILL.md
- install.py · scripts/
SKILL.md (first lines)
# Install Waggle Install Waggle only; do not implement, configure, repair, or operate Waggle itself. 1. Confirm that this is a local Codex environment with shell access. If the `codex` executable or local filesystem is unavailable, stop and explain that Waggle must be installed from a supported local Codex environment. Do not attempt a ChatGPT Web installation. 2. Tell the user: "I’ll download the official Waggle Codex plugin from the Abhigyan-Shekhar/Waggle-mcp GitHub Releases page and install it through Codex’s normal permission flow." 3. Run `python3 scripts/install.py` from this skill directory. Let Codex request its normal network, filesystem, and command approvals; do not bypass the sandbox or use `sudo`. 4. Report the script's result exactly: - If it says Waggle is already installed, stop. - If it succeeds, confirm installation and tell the user to start a new Codex task so the plugin loads. - If it fails, report the error clearly and do not claim that Waggle was installed. The installer checks `codex plugin list --json`, discovers the latest non-draft, non-prerelease GitHub Release, downloads its `waggle-codex-marketplace-<tag>.zip` asset, extracts it safely, locates the marketplace root, and runs the existing Codex commands. Do not substitute PyPI, a hosted MCP server, or another installation path.
From Abhigyan-Shekhar/Waggle-mcp, Apache-2.0.
More from Abhigyan-Shekhar/Waggle-mcp
- 0.614score
waggle-memory
Abhigyan-Shekhar
Use Waggle automatically as portable, local project memory during meaningful coding work; retrieve prior decisions and constraints, then store only durable…
SkillBFreshness: B★ 44Claude Code +9 - 0.609score
waggle-checkpoint
Abhigyan-Shekhar
Checkpoint durable decisions, fixes, constraints, results, and open next steps from the current Codex task into scoped Waggle project memory.
SkillBFreshness: B★ 44Claude Code +9 - 0.606score
waggle-prime
Abhigyan-Shekhar
Prime a Codex task with the most relevant Waggle project history before starting or resuming substantial work.
SkillBFreshness: B★ 44Claude Code +9 - 0.606score
waggle-recall
Abhigyan-Shekhar
Recall project-scoped Waggle history about a topic, component, decision, bug, experiment, or implementation attempt.
SkillBFreshness: B★ 44Claude Code +9 - 0.575score
Waggle MCP
Abhigyan-Shekhar
Persistent graph-backed conversational memory for AI agents.
ConnectorAFreshness: ALocal★ 44↓ 16/wkClaude Code +5
Signals
- Stars
- 44
- Forks
- 138
- Open issues
- 171
- Contributors
- 75
- Last commit (this folder)
- Aug 12, 2026 (2 months ago)
- Last release
- Aug 10, 2026 (2 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- Apache-2.0
- Repository
- github.com/Abhigyan-Shekhar/Waggle-mcp
- Website
- pypi.org/project/waggle-mcp/
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
More from Abhigyan-Shekhar
- 0.614score
waggle-memory
Abhigyan-Shekhar
Use Waggle automatically as portable, local project memory during meaningful coding work; retrieve prior decisions and constraints, then store only durable…
SkillBFreshness: B★ 44Claude Code +9 - 0.609score
waggle-checkpoint
Abhigyan-Shekhar
Checkpoint durable decisions, fixes, constraints, results, and open next steps from the current Codex task into scoped Waggle project memory.
SkillBFreshness: B★ 44Claude Code +9 - 0.606score
waggle-prime
Abhigyan-Shekhar
Prime a Codex task with the most relevant Waggle project history before starting or resuming substantial work.
SkillBFreshness: B★ 44Claude Code +9 - 0.606score
waggle-recall
Abhigyan-Shekhar
Recall project-scoped Waggle history about a topic, component, decision, bug, experiment, or implementation attempt.
SkillBFreshness: B★ 44Claude Code +9 - 0.575score
Waggle MCP
Abhigyan-Shekhar
Persistent graph-backed conversational memory for AI agents.
ConnectorAFreshness: ALocal★ 44↓ 16/wkClaude Code +5
Done for you
Rather not set it up yourself?
Chalk Labs scopes, builds and runs agents for your team: the task audit, the eval harness, the integrations and the weekly ops report. Fixed scope, priced before we start.
See how we build AI agents →Read the case studies
Chalk Labs is a two-founder AI and growth studio. We build AI agents, CRMs and MVPs for Web3 and AI companies, and have shipped 50+ product and token launches.
- launches shipped
- 50+
- launches shipped
- media placements
- 500+
- media placements
- founders on every account
- 2
- founders on every account
Press we've placed: Forbes · CoinDesk · Decrypt · Cointelegraph · The Block
Rahil Jain, Co-founder, Chalk Labs. Ex-Goldman Sachs engineer. You talk to the person who builds it.
Get install-waggle running in your business
Tell us what you want to automate. A founder replies within one working day with a plan, not a pitch deck.
Cite this page
install-waggle skill. Agent Mart. https://agentmart.dev/skills/abhigyan-shekhar-install-waggle (last updated 2026-10-24)