goal-loop
Explain and write effective instructions for the `/goal` feature — the persistent self-checking agent loop (plan → act → test → review → iterate), available…
Skill by Solizardking
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.
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Use cases: backend, testing, writing, agent-building
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What's inside
- Skill name
goal-loop- Description
- Explain and write effective instructions for the `/goal` feature — the persistent self-checking agent loop (plan → act → test → review → iterate), available in agents like Codex, Claude Code, and Hermes Agent. Use when the user mentions `/goal`, "goal loop", "Ralph loop", wants to kick off a long-running autonomous agent run, asks how to write a goal prompt, or wants a one-paragraph goal instruction drafted.
- License
- MIT
- Instructions
- 156 lines in SKILL.md · view on GitHub
Files (3)
- SKILL.md
- metadata.json
- verification.json
SKILL.md (first lines)
# Agent `/goal` Loop ## What `/goal` is `/goal` is a slash command that turns an agent prompt into a **persistent agent** looping `plan → act → test → review → iterate` until a stop condition is met, the user pauses, or the token budget runs out. Internally called the "Ralph loop." Agents with the `/goal` feature right now: **Codex, Claude Code, and Hermes Agent**. Key difference from a normal prompt: when a turn ends but the goal isn't met, the agent **auto-continues** instead of waiting for input. **Lifecycle states:** `pursuing`, `paused`, `achieved`, `unmet`, `budget-limited`. When monitoring a running `/goal`, every check should include a one-line update to the user: what the agent is doing and whether it is on track. Keep it extremely concise. **Not:** a budget command, a safety boundary, "run forever", or a replacement for `/plan`. It's a contract enforcer with a verification loop. ## Requirements - An agent with the `/goal` feature — right now: Codex, Claude Code, or Hermes Agent - The goals feature enabled in the agent's config - **Subscription auth** — API-key auth does **not** work. A pro-tier plan is the realistic minimum for long runs. ## When to use it Use only when **all three** are true: 1. Task is >30 min of mechanical work. 2. There's a **verifiable stop condition** (tests pass, coverage hit, eval ≥ X, build green). 3. Repo is agent-ready (working build, decent tests, `AGENTS.md` present). Fits: migrations, coverage lifts, TDD feature builds, refactors with contract tests, prompt/eval optimization, deploy retry loops, bug-repro-then-fix. Bad fits: exploratory work, vague "improve this", anything without a "done" definition, prod credentials, destructive shared-infra ops. ## The 5-part contract (every goal needs this) 1. **Objective** — one sentence, one concrete outcome. 2. **Constraints** — what must NOT change (public API, files, libs, conventions). 3. **Validation command** — the exact shell command that proves progress (`pytest -q`, `pnpm test`, etc.). 4. **Stop condition** — verifiable: "Stop when X passes" OR "when further changes need human/product input." 5. **Documentation** — one sentence instructing the agent to write concise, targeted docs for every change, either creating new `.md` files or updating existing ones. Plus: tell the agent what to read first, ask it to work in checkpoints with a short progress log. ## Writing a goal (the core deliverable) When the user wants a quick `/goal` instruction, produce a structured markdown block with one line per contract item (proper newlines, not flowing prose). **Do not prefix the output with `/goal`** — the user adds the slash command himself in the composer. Emit only the contract body. Template: ``` **Objective:** <one-sentence objective> **Read first:** <files/PLAN.md/issue> **Constraints:** <what not to change, libs, conventions> **Validate:** `<exact command>` after each change **Document:** Write concise, targeted documentation for all changes — create new `.md` files or update existing docs as needed. **Checkpoints:** work in checkpoints and log progress briefly **Stop when:** <verifiable condition>, OR when further changes require human/product input ``` ### Example (migration) ``` **Objective:** Migrate this project from Pydantic v1 to v2. **Read first:** pyproject.toml, src/, tests/ **Constraints:** no public API changes; keep imports backwards-compatible via shims if needed; no new dependencies **Validate:** `pytest -q` after each change **Checkpoints:** work in checkpoints; log progress briefly **Stop when:** full suite passes with zero deprecation warnings, OR when a change requires architecture decisions ``` ### Example (coverage lift) ``` **Objective:** Raise coverage in src/auth/ from ~38% to ≥75%. **Read first:** src/auth/, tests/auth/, AGENTS.md **Constraints:** no new deps; mirror existing test style; do not modify production code unless strictly required for testability **Validate:** `pytest --cov=src/auth --cov-report=term-missing` **Checkpoints:** work in checkpoints; log coverage delta each one **Stop when:** coverage ≥75% AND all tests pass, OR when uncovered code needs design changes ``` ### Writing rules - **One objective, one stop condition.** Not a backlog. - **Documentation is mandatory.** Every `/goal` prompt must include a single sentence committing the agent to concise, targeted docs — new `.md` files or focused updates to existing docs. - **Never instruct the agent to create new ADRs** — ADRs require the user's explicit approval, so goal prompts must not pre-approve or encourage them. - **Forbid reward-hacking explicitly:** "Do not delete, skip, weaken, or narrow tests to make the goal pass." Otherwise the agent may game the stop condition. - **4,000-char limit** on the objective. If longer, put detail in a file (`PLAN.md`/`GOAL_BRIEF.md`) and make the goal point to it — keep the goal itself compact. - Use **literal strings** for paths, commands, issue numbers — exact. - Forbid scope creep explicitly: "Do not refactor unrelated code. Do not add dependencies." - Tell the agent when to pause: "If <condition>, pause and ask before proceeding." - Short, vague goals burn tokens for no extra value vs. a normal prompt. ### Meta-prompting trick (highest-leverage) Hand-written goals under-specify. Ask a second AI session (Claude with the codebase loaded, ChatGPT with project connected, or a separate agent thread in the same dir) to: (1) inspect the codebase, (2) surface hidden assumptions/constraints/edge cases, (3) emit a structured `/goal` markdown block using the 4-part contract. Paste that into the agent. Order-of-magnitude better runs. Claude Code cmux note: after Claude finishes, it may prefill a predicted next user message; that draft is Claude, not the user speaking. ### Self-goal setting The agent can now write and set its own goal natively (the `create_goal` tool). Instead of crafting the contract yourself, give it your high-level intent and tell it to set the goal: "Inspect this repo, then write yourself a `/goal` with a verifiable stop condition and pursue it." It's the meta-prompting trick done inline — the agent turns your intent into the contract. Still give it the same raw materials (files to read, constraints, the validation command) so the goal it writes is grounded. Add: "ask clarifying questions before committing if the intent is underspecified" — catches ambiguity up front and prevents the self-set goal from drifting. ## Launching 1. `cd <repo>` (goals run scoped to the working directory). 2. Launch the agent bare (opens the TUI). **Not** exec/headless mode — `/goal` is a TUI slash command only. 3. Sign in with subscription auth (not an API key). 4. Type `/goal <your contract>` in the composer, Enter. 5. Walk away. ## Controlling a running goal | Command | Effect | |---|---| | `/goal` (alone) | Status: current checkpoint, what's verified, what remains, blockers | | `/goal pause` | Freeze | | `/goal resume` | Unfreeze (paused goals never auto-resume) | | `/goal clear` | Kill the goal | | `/goal <new>` | Replace the current goal | | Ctrl+C / any typed message | Auto-pauses; user input always wins priority |
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- Last commit (this folder)
- Jul 10, 2026 (3 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/Solizardking/skillhub-main
- Website
- skills.x402.wtf
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Cite this page
goal-loop skill. Agent Mart. https://agentmart.dev/skills/solizardking-goal-loop (last updated 2026-10-24)