pi-goal

pi-goal is a skill for Claude Code, Codex from code-yeongyu/oh-my-openagent. It costs 39 tokens per session (262 once invoked), scanned A, original, no licence file.

A persistent tracker for goals that continue across multiple conversations or work sessions.

In plain words
What is it for?
Use it to set, continue, inspect, audit, pause, resume, or complete a goal when the user explicitly asks.
Why use it?
It keeps long-running work from losing its objective, status, or progress when a session ends.

Skill for Claude CodeCodex

Which agent this was written for is unclear — body not stored (licence); the path alone says nothing.

Good fit Use it to set, continue, inspect, audit, pause, resume, or complete a goal when the user explicitly asks.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/code-yeongyu/oh-my-openagent/pi-goal
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add code-yeongyu/oh-my-openagent --skill pi-goal
Clone the repo
git clone --depth 1 https://github.com/code-yeongyu/oh-my-openagent

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for pi-goal

README.md
[![agentmods](https://agentmods.dev/badge/skills/code-yeongyu/oh-my-openagent/pi-goal/github.svg)](https://agentmods.dev/skills/code-yeongyu/oh-my-openagent/pi-goal)
Your own site
<a href="https://agentmods.dev/skills/code-yeongyu/oh-my-openagent/pi-goal"><img src="https://agentmods.dev/badge/skills/code-yeongyu/oh-my-openagent/pi-goal/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for pi-goal

Your own site · 80×15
<a href="https://agentmods.dev/skills/code-yeongyu/oh-my-openagent/pi-goal"><img src="https://agentmods.dev/badge/skills/code-yeongyu/oh-my-openagent/pi-goal.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 39 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 262 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin unknown No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00039 $0.00262
Opus 5 $0.00019 $0.00131
Sonnet 5 $0.00008 $0.00052
Haiku 4.5 $0.00004 $0.00026

Measured 9d ago against content hash f0b4082f56bc, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

pi-goal scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.

The scan reads SKILL.md. This mod also ships 21 executable files (scripts/qa/drive.mjs, scripts/qa/mock-provider/index.ts, src/goal/command.ts, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

packages/pi-goal/SKILL.md · 48 lines

The source is not reproduced here

A licence we could not identify

The repository carries a LICENSE file, but it is custom or dual enough that GitHub cannot name it and neither can this catalogue. Unknown terms are not permission, so the body is not copied here. Read the licence at the source and decide for yourself.

Read it on GitHub

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 9d ago First seen · 48 lines · 39 tokens per session scan A f0b4082f56bc

Subscribe to this mod's changes

pi-goal is a skill published in the GitHub repository code-yeongyu/oh-my-openagent (68,803 stars, last pushed yesterday), with no licence file. It adds 39 tokens to every session and 262 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

Related

Other skills, from other repositories

postgresql-table-design

Use this skill when designing or reviewing a PostgreSQL-specific schema. Covers best-practices, data types, indexing, constraints, performance patterns, and advanced features.

wshobson/agents · 37 tokens

event-store-design

Design and implement event stores for event-sourced systems. Use when building event sourcing infrastructure, choosing event store technologies, or implementing event persistence patterns.

wshobson/agents · 33 tokens

9router-web-fetch

Fetch URL → markdown / text / HTML via 9Router /v1/web/fetch using Ollama Cloud / Firecrawl / Jina Reader / Tavily Extract / Exa Contents. Use when the user wants to scrape a webpage, extract URL content, read article, or convert a URL to markdown.

decolua/9router · 67 tokens

9router-embeddings

Generate vector embeddings via 9Router /v1/embeddings using OpenAI / Gemini / Mistral / Voyage / Nvidia / GitHub embedding models for RAG, semantic search, similarity. Use when the user wants embeddings, vectors, RAG, semantic search, or to embed text.

decolua/9router · 66 tokens

9router-stt

Speech-to-text via 9Router /v1/audio/transcriptions using OpenAI Whisper / Groq / Gemini / Deepgram / AssemblyAI / NVIDIA / HuggingFace models. Use when the user wants to transcribe audio, convert speech to text, or get subtitles from audio files.

decolua/9router · 63 tokens

workflow-orchestration-patterns

Design durable workflows with Temporal for distributed systems. Covers workflow vs activity separation, saga patterns, state management, and determinism constraints. Use when building long-running processes, distributed transactions, or microservice orchestration.

wshobson/agents · 49 tokens