Agent Setup Health Audit
tw93/Waza
Audits a project's agent configuration, instruction drift, hooks, MCP and AI maintainability, then reports prioritized findings with evidence and next actions.
AI agent integration layer for the Pump SDK — agent instruction files, .well-known discovery, LLM context documents, 15+ skill files, MCP server prompts, and terminal management rules for GitHub…
$ npx skills add nirholas/pump-fun-sdk --skill pump-ai-agents -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install nirholas/pump-fun-sdk pump-ai-agents --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/nirholas/pump-fun-sdk.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/pump-ai-agents .claude/skills/pump-ai-agents && rm -rf skills-srcUse ~/.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/
Install the "pump-ai-agents" agent skill from https://github.com/nirholas/pump-fun-sdk/tree/main/skills/pump-ai-agents into .claude/skills/pump-ai-agents/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pump-ai-agents", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/nirholas/pump-fun-sdk/tree/main/skills/pump-ai-agentsType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add nirholas/pump-fun-sdk --skill pump-ai-agents -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install nirholas/pump-fun-sdk pump-ai-agents --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/nirholas/pump-fun-sdk.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/pump-ai-agents .agents/skills/pump-ai-agents && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "pump-ai-agents" agent skill from https://github.com/nirholas/pump-fun-sdk/tree/main/skills/pump-ai-agents into .agents/skills/pump-ai-agents/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pump-ai-agents", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add nirholas/pump-fun-sdk --skill pump-ai-agents -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install nirholas/pump-fun-sdk pump-ai-agents --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/nirholas/pump-fun-sdk.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/pump-ai-agents .cursor/skills/pump-ai-agents && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "pump-ai-agents" agent skill from https://github.com/nirholas/pump-fun-sdk/tree/main/skills/pump-ai-agents into .cursor/skills/pump-ai-agents/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pump-ai-agents", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/nirholas/pump-fun-sdk.git --path skills/pump-ai-agents--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add nirholas/pump-fun-sdk --skill pump-ai-agents -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install nirholas/pump-fun-sdk pump-ai-agents --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/nirholas/pump-fun-sdk.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/pump-ai-agents .gemini/skills/pump-ai-agents && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "pump-ai-agents" agent skill from https://github.com/nirholas/pump-fun-sdk/tree/main/skills/pump-ai-agents into .gemini/skills/pump-ai-agents/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pump-ai-agents", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install nirholas/pump-fun-sdk pump-ai-agentsInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add nirholas/pump-fun-sdk --skill pump-ai-agents -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/nirholas/pump-fun-sdk.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/pump-ai-agents .github/skills/pump-ai-agents && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "pump-ai-agents" agent skill from https://github.com/nirholas/pump-fun-sdk/tree/main/skills/pump-ai-agents into .github/skills/pump-ai-agents/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pump-ai-agents", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add nirholas/pump-fun-sdk --skill pump-ai-agents -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install nirholas/pump-fun-sdk pump-ai-agents --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/nirholas/pump-fun-sdk.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/pump-ai-agents .opencode/skills/pump-ai-agents && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "pump-ai-agents" agent skill from https://github.com/nirholas/pump-fun-sdk/tree/main/skills/pump-ai-agents into .opencode/skills/pump-ai-agents/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pump-ai-agents", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
pump-ai-agentsAI agent integration layer for the Pump SDK — agent instruction files, .well-known discovery, LLM context documents, 15+ skill files, MCP server prompts, and terminal management rules for GitHub…
Pump AI Agents is an agent skill from nirholas/pump-fun-sdk. AI agent integration layer for the Pump SDK — agent instruction files, .well-known discovery, LLM context documents, 15+ skill files, MCP server prompts, and terminal management rules for GitHub Copilot, Claude, and Gemini.
Its SKILL.md is about 830 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Agent Workflows, covering Agent instruction files and MCP servers. It works with Model Context Protocol and Solana. The repository describes itself as: Token creation launching, bonding curve trading, AMM migration, tiered fees, creator fee sharing, vanity keygen, MCP server, Telegram bot & live dashboards.
Read from SKILL.md and the folder at commit fcfc876. It shows what the files ask for, not the result of running them.
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.
No scripts in the folder and no shell commands in SKILL.md (its code samples are json).
From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Pump AI Agents loads about 832 tokens when it runs. Until then it costs about 60 tokens; SKILL.md has 276 words of instructions outside code blocks.
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.
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.
Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 276 words (~832 tokens).
“Configure AI agents (GitHub Copilot, Claude, Gemini) to work effectively with the Pump SDK through instruction files, skill registries, and MCP server integration.”
Just SKILL.md in skills/pump-ai-agents of nirholas/pump-fun-sdk.
Open the folder on GitHubat commit fcfc876
We found 2 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in nirholas/pump-fun-sdk, which our catalogue first saw on October 7, 2026.
Pump AI Agents next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Pump AI Agents this skillnirholas/pump-fun-sdk | 133 | 1 repos | ~832 | Automated safety check: Pass | Custom licence | |
| Agent Setup Health Audittw93/Waza | 7.2k | — | ~5.2k | Automated safety check: Notes | MIT | |
| Semantix GuideGnosil/semantix | 821 | — | ~2.1k | Automated safety check: Pass | MIT | |
| Working With Claude Code Docsobra/superpowers-developing-for-claude-code | 142 | — | ~1.5k | Automated safety check: Pass | None | |
| Agnixagent-sh/agnix | 445 | — | ~874 | Automated safety check: Pass | Apache-2.0 | |
| Claude Docs Consultantcentminmod/my-claude-code-setup | 2.7k | — | ~959 | Automated safety check: Pass | MIT |
tw93/Waza
Audits a project's agent configuration, instruction drift, hooks, MCP and AI maintainability, then reports prioritized findings with evidence and next actions.
Gnosil/semantix
Troubleshoot and configure Semantix capabilities: Skills (project/custom/global/builtin priority, discovery dirs), Commands (override order, /dir:file naming), Hooks (11 events, automatic project…
obra/superpowers-developing-for-claude-code
Looks up official Claude Code documentation stored as reference files instead of guessing about CLI commands, configuration, or plugin APIs.
agent-sh/agnix
A skill your agent uses when user asks to 'lint agent configs', 'validate skills', 'check CLAUDE.md', 'validate hooks', 'lint MCP'.
centminmod/my-claude-code-setup
Consult official Claude Code documentation from code.claude.com using selective fetching.
yoloshii/ClawMem
ClawMem operational reference for agents at query time — the 3-rule escalation gate, MCP tool routing, the 4 query-optimization levers, pipeline behavior (query vs intentsearch), composite scoring…
nirholas/pump-fun-sdk
Multi-language test infrastructure for the Pump SDK — Rust unit/integration/security/performance tests, TypeScript Jest tests, Python fuzz tests, shell test orchestration, Criterion benchmarks, and…
nirholas/pump-fun-sdk
Admin and authority operations for the Pump protocol — set coin creator, update token incentives, set IDL authority, claim cashback, Mayhem mode, and BothPrograms cross-program admin instructions.
nirholas/pump-fun-sdk
Constant-product AMM bonding curve math for Pump token pricing — buy/sell quoting, fee-aware calculations, market cap computation, tiered fees, ceiling division, virtual vs real reserves, and…
nirholas/pump-fun-sdk
Build and release pipeline for the Pump SDK — tsup TypeScript builds, Cargo release profiles, semantic release with commitizen, npm publishing, linting, Makefile targets, Vercel deployment, and MCP…
nirholas/pump-fun-sdk
Read-only query methods for PumpFun claims — unclaimed token rewards, creator vault balances, volume accumulators, distributable fees, and current-day token previews across Pump and PumpAMM programs.
nirholas/pump-fun-sdk
Configure and distribute creator fees to multiple shareholders using the PumpFees program with BPS-based share allocation, admin management, and cross-program fee consolidation for graduated tokens.
Works with
Categories
AI agent integration layer for the Pump SDK — agent instruction files, .well-known discovery, LLM context documents, 15+ skill files, MCP server prompts, and terminal management rules for GitHub…. Pump AI Agents is an agent skill from nirholas/pump-fun-sdk.well-known discovery, LLM context documents, 15+ skill files, MCP server prompts, and terminal management rules for GitHub Copilot, Claude, and Gemini.
Pump AI Agents fits situations like: tasks that involve Agent instruction files; tasks that involve MCP servers.
Run `npx skills add nirholas/pump-fun-sdk --skill pump-ai-agents -a claude-code`. Or copy the skill folder (skills/pump-ai-agents in nirholas/pump-fun-sdk) into .claude/skills/pump-ai-agents in your project. Claude Code loads it when a task matches its description.
Run `npx skills add nirholas/pump-fun-sdk --skill pump-ai-agents -a codex`. Or copy the skill folder (skills/pump-ai-agents in nirholas/pump-fun-sdk) into .agents/skills/pump-ai-agents in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add nirholas/pump-fun-sdk --skill pump-ai-agents -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/pump-ai-agents, .gemini/skills/pump-ai-agents, .github/skills/pump-ai-agents and .opencode/skills/pump-ai-agents in your project.
SKILL.md names no scripts, command-line tools or credentials: Pump AI Agents is instructions for the agent only.
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
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.
Pump AI Agents has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.
About 832 tokens (SKILL.md is roughly 3.3k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Pump AI Agents: Agent Setup Health Audit (tw93/Waza, 7.2k stars), Semantix Guide (Gnosil/semantix, 821 stars), Working With Claude Code Docs (obra/superpowers-developing-for-claude-code, 142 stars) and Agnix (agent-sh/agnix, 445 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
nirholas (a GitHub user) maintains it in nirholas/pump-fun-sdk, which has 133 GitHub stars. The repository holds 18 skills in this directory. The repository was last updated on September 18, 2026.
Source: nirholas/pump-fun-sdk on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.