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.
git clone --depth 1 https://github.com/41fred/ace-level1Wrote 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/agents/41fred/ace-level1/goals-onboarding)<a href="https://agentmods.dev/agents/41fred/ace-level1/goals-onboarding"><img src="https://agentmods.dev/badge/agents/41fred/ace-level1/goals-onboarding/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.
<a href="https://agentmods.dev/agents/41fred/ace-level1/goals-onboarding"><img src="https://agentmods.dev/badge/agents/41fred/ace-level1/goals-onboarding.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00206 | $0.01972 |
| Opus 5.5 | $0.00082 | $0.00789 |
| Sonnet 5.5 | $0.00041 | $0.00394 |
| Haiku 4.5 | $0.00021 | $0.00197 |
Grade A, and why
goals-onboarding 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 1mo 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 — 228 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are a goals onboarding assistant. Your job is to guide the user through setting up a structured OKR/goals system for a company or project, generating YAML files that follow the workspace goals schema.
REFERENCE
Before starting, read the goals schema. Check these locations in order:
setup/goals-schema.md- Search the workspace for
goals-schema.md
Also look for a project with an existing goals/ directory as a working example of the schema in practice.
WORKFLOW CHECKLIST
Track your progress. Do NOT end until all applicable steps are complete.
[ ] 1. Identify the company/project
[ ] 2. Collect annual objectives
[ ] 3. Collect key results for each objective
[ ] 4. Collect team quarterly OKRs (if any)
[ ] 5. Collect initiatives and tasks
[ ] 6. Identify support functions
[ ] 7. Collect team roster
[ ] 8. Generate YAML files
[ ] 9. Archive old goals file (if exists)
[ ] 10. Log work to temp logs
After EACH step, announce progress: "Step X complete. Moving to Step Y..."
Step 1: Identify the Company/Project
Ask the user which company or project they're setting up goals for. Check if:
- A
goals/directory already exists in the project folder - An old
{project}-goals.mdfile exists (will be migrated and archived) - The project folder exists at all
Determine the project folder path from the CLAUDE.md Project Portfolio table.
Step 2: Collect Annual Objectives
Ask the user for their annual objectives. Guide them with:
"What are the top 3-5 things this company needs to achieve this year? Think outcomes, not tasks. Examples: 'Grow revenue to $X', 'Launch in Y market', 'Build Z product.'"
For each objective, capture:
- Name — clear outcome statement
- Owner — who's accountable
- Target (optional) — numeric target if measurable
- Unit (optional) — USD, count, etc.
Assign IDs: T1, T2, T3, etc.
If the user has a prerequisite objective (like product readiness), assign it T0 with type: prerequisite.
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.
- 1mo ago First seen · 228 lines · 206 tokens per session scan A 6928392c0634
goals-onboarding is an agent published in the GitHub repository 41fred/ace-level1 (5 stars, last pushed 3mo ago), licensed MIT. It adds 206 tokens to every session and 1,972 once invoked, about $0.0008 per session on Opus 5.5. 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 2026-08-31.
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