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/UltimaPhoenix/dev-coachWrote 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/ultimaphoenix/dev-coach/share)<a href="https://agentmods.dev/commands/ultimaphoenix/dev-coach/share"><img src="https://agentmods.dev/badge/commands/ultimaphoenix/dev-coach/share/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/ultimaphoenix/dev-coach/share"><img src="https://agentmods.dev/badge/commands/ultimaphoenix/dev-coach/share.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 | $0.00000 | $0.00318 |
| Opus 5.5 | $0.00000 | $0.00127 |
| Sonnet 5.5 | $0.00000 | $0.00064 |
| Haiku 4.5 | $0.00000 | $0.00032 |
Grade A, and why
share 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.
The source is not reproduced here
Licensed AGPL-3.0
The repository is licensed AGPL-3.0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.
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 · 15 lines · 0 tokens per session scan A d749d177d82b
share is a command published in the GitHub repository UltimaPhoenix/dev-coach (5 stars, last pushed 2d ago), licensed AGPL-3.0. It costs nothing until one of its globs matches a file; then it loads 318 tokens. 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 2026-09-16.
Other commands, from other repositories
explain
A guided command for explaining how a file or code section works. It covers its purpose, main logic, data flow, dependencies, design choices, and possible improvements.
hatch3r-onboard
Generate a comprehensive onboarding guide for a new developer joining the project -- spawn parallel researchers to analyze codebase structure, architecture, and conventions, then produce a tailored onboarding document with setup instructions, architecture walkthrough, coding conventions, key workflows, tribal…
maestro-learn
User-invoked learning toolkit — guided reading, investigation, pattern extraction, or second opinions. Manual /maestro-learn only; NEVER auto-invoke for code exploration or analysis — route those intents to the analyze step via /maestro-next.
docs
Command "docs" from getsentry/toolkit, covering examples, ask a documentation question and search the documentation index.
speckit.gym.drop
Record a drop card from a mis-fire. A mis-fire is not a mistake to punish — it is a discovery to keep. Drop cards capture what was done, what was expected, and what happened, persisted to the configured redundant stores (default /drops/ plus the extension's append-only .drop-ledger.md).
speckit.gym.run
Full training run: warmup reps grow reflexes, graded exercises prove skill under load, and the gate opens only when every rep is grown and every exercise is passed.