Borrowing it
Nothing to install: this file belongs to niels-emmer/myace. 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/niels-emmer/myace/main/.opencode/commands/compile-profile.mdgit clone --depth 1 https://github.com/niels-emmer/myaceWrote 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/commands/niels-emmer/myace/compile-profile)<a href="https://agentmods.dev/commands/niels-emmer/myace/compile-profile"><img src="https://agentmods.dev/badge/commands/niels-emmer/myace/compile-profile/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/commands/niels-emmer/myace/compile-profile"><img src="https://agentmods.dev/badge/commands/niels-emmer/myace/compile-profile.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 | $0.00019 | $0.00243 |
| Opus 5 | $0.00010 | $0.00121 |
| Sonnet 5 | $0.00004 | $0.00049 |
| Haiku 4.5 | $0.00002 | $0.00024 |
Grade A, and why
compile-profile scanned grade A with 1 finding 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 8d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -X POST http://localhost:8000/api/v1/profiles/compile \ What it actually says
Compile a MyACE profile into target framework files.
Usage: /compile-profile <profile-id> <target>
Targets:
opencode— Generates.opencode/skills/*.json,.opencode/agents/*.json,AGENTS.mdclaude-code— GeneratesCLAUDE.md,.claude/agents/*.md,.claude/workflows/*.mdcursor— Generates.cursorrules,.cursor/rules/*.mdc
Steps:
- Ensure the dev stack is running
- POST to the compile endpoint:
curl -X POST http://localhost:8000/api/v1/profiles/compile \ -H "Content-Type: application/json" \ -d '{"profile_id": "<profile-id>", "target": "<target>"}' - The response contains
{filename: content}map — write each file to the project root
Alternatively, use the web UI at http://localhost:80/compile to download a zip.
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.
- 8d ago First seen · 26 lines · 19 tokens per session scan A 2ac6f83d4efb
compile-profile is a command published in the GitHub repository niels-emmer/myace (1 stars, last pushed 2d ago), licensed MIT. It adds 19 tokens to every session and 243 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
Other commands, from other repositories
address
Address the pressure-test review for a plan.
distill
Distill important session insights into doc/loom/knowledge.
checklist
Generate a custom checklist for the current feature based on user requirements.
clarify
Identify underspecified areas in the current feature spec by asking up to 5 highly targeted clarification questions and encoding answers back into the spec.
specify
Create or update the feature specification from a natural language feature description.
analyze
Perform a non-destructive cross-artifact consistency and quality analysis across spec.md, plan.md, and tasks.md after task generation.