Borrowing it
Nothing to install: this file belongs to saski/arnesto. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/saski/arnesto/main/.cursor/skills-cursor/goal/SKILL.mdgit clone --depth 1 https://github.com/saski/arnestoWrote 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.
[](https://agentmods.dev/skills/saski/arnesto/goal)<a href="https://agentmods.dev/skills/saski/arnesto/goal"><img src="https://agentmods.dev/badge/skills/saski/arnesto/goal.svg" alt="Measured on agentmods" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00012 | $0.00979 |
| Opus 5 | $0.00006 | $0.00490 |
| Sonnet 5 | $0.00002 | $0.00196 |
| Haiku 4.5 | $0.00001 | $0.00098 |
Grade A, and why
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 3d ago.
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.
How it starts
The opening of the file, as written. The whole thing — 58 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Goal
Use the same durable, tool-driven flow in local and cloud environments.
Parse
Accept /goal <objective>.
- If the objective is empty, show
Usage: /goal <objective>. - There is no deadline, token budget, or turn budget. A goal continues until it is complete.
- If the request leads with a time limit such as
30mor2h, say plainly that time-limited goals are not supported yet, then create the goal without one rather than folding the limit into the objective. - "Every" describes recurring work and belongs to
/loop, not/goal.
Start
- Restate the objective clearly, including every explicit deliverable or required evidence you will verify against the repo.
- Call
CreateGoalexactly once with the objective. Do not create goal files manually or retry creation. - If creation fails, report that no goal was armed. Goal state lives in conversation state; ordinary file tools may keep optional scratchpads, but continuation does not require them.
- Perform the first concrete unit of work immediately in this turn; do not stop after planning or creating the goal.
Guidelines
Continuation behavior:
- This goal persists across turns. Ending this turn does not require shrinking the objective to what fits now.
- Keep the full objective intact. If it cannot be finished now, make concrete progress toward the real requested end state, leave the goal active, and do not redefine success around a smaller or easier task.
- Temporary rough edges are acceptable while the work is moving in the right direction. Completion still requires the requested end state to be true and verified.
Work from evidence: Use the current working tree and external state as authoritative. Previous conversation context can help locate relevant work, but inspect the current state before relying on it. Improve, replace, or remove existing work as needed to satisfy the actual objective.
Progress visibility: If TodoWrite is available and the next work is meaningfully multi-step, use it to show a concise plan tied to the real objective. Keep the plan current as steps complete or the next best action changes. Skip planning overhead for trivial one-step progress, and do not treat a plan update as a substitute for doing the work.
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.
- 3d ago First seen · 58 lines · 12 tokens per session scan A 95d2b1b1fbf9
goal is a skill published in the GitHub repository saski/arnesto (5 stars, last pushed today), licensed Unlicense. It adds 12 tokens to every session and 979 once invoked, about $0.0001 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 2026-09-03.
Other skills, from other repositories
readonly-review
Run a no-network read-only review practice with two explorer steps and one synthesis step.
repo-harness-assessment
Use when evaluating repository agent-readiness, mapping harness roles, choosing the next smallest improvement, or designing and reconciling agent entrypoints such as AGENTS.md, CLAUDE.md, GEMINI.md, Cursor rules, or GitHub instructions.
work-state-and-delivery
Use when designing or reconciling design docs, task boards, external trackers, execution plans, delivery records, handoffs, review evidence, task-to-change traceability, or repository commit-coupling policy.
repo-contracts-and-boundaries
Use when turning architecture, layering, ownership, dependency direction, schemas, structural metrics, quality thresholds, baselines, allowlists, or generated quality snapshots into repository checks.
runtime-evidence-and-tracing
Use when connecting observed behavior, logs, metrics, request IDs, run IDs, screenshots, traces, external dependency results, or artifacts into a runtime evidence loop.
validation-harness-design
Use when designing repository validation commands, doctor scripts, test matrices, JSON or JUnit outputs, CI gates, smoke checks, or harness command surfaces.