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 nordeim
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Use cases: testing, writing, agent-building
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- 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 (1)
- SKILL.md
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 |
From nordeim/neo-crm, MIT.
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- Sep 28, 2026 (1 month ago)
From GitHub (fetched Oct 24, 2026).
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- License
- MIT
- Repository
- github.com/nordeim/neo-crm
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
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goal-loop skill. Agent Mart. https://agentmart.dev/skills/nordeim-goal-loop-0fcd49 (last updated 2026-10-24)