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.
npx agentmods add commands/rhyanvargas/agentic-development-starter-kit/optimize-skillgit clone --depth 1 https://github.com/rhyanvargas/agentic-development-starter-kitWhat 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 | $0.00000 | $0.00208 |
| Opus 5 | $0.00000 | $0.00104 |
| Sonnet 5 | $0.00000 | $0.00042 |
| Haiku 4.5 | $0.00000 | $0.00021 |
Grade A, and why
optimize-skill 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 2d 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.
What it actually says
/optimize-skill
Optimize an Agent Skill for trigger accuracy, clarity, and token cost.
Skill
Read and follow skills/skill-optimizer (or .agents/skills/skill-optimizer in adopter apps).
Usage
/optimize-skill
/optimize-skill skills/spec-driven-workflow
/optimize-skill .agents/skills/my-company-skill
Behavior
- Locate the target skill directory (ask if unclear).
- Run the skill-optimizer gates (validate, description, lean body, progressive disclosure, trigger + output evals).
- Apply lean edits; move kit-meta/rationale into
references/with hard when-to-load conditions. - Report what changed and any remaining eval gaps. For a full with/without output pass, hand off to
/run-skill-evals(that command must end with Recommended next actions fromskill-optimizer→references/eval-loop.md).
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.
- 2d ago First seen · 23 lines · 0 tokens per session scan A 491587189df8
optimize-skill is a command published in the GitHub repository rhyanvargas/agentic-development-starter-kit (2 stars, last pushed 9d ago), licensed Apache-2.0. It costs nothing until one of its globs matches a file; then it loads 208 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 2026-08-31.
Other commands, from other repositories
claude-flow-swarm
Coordinate multi-agent swarms for complex tasks.
bootstrap
PACT session-start ritual — identify the session team (platform-provisioned), secretary spawn, paused-state surface, bootstrap marker.
ox-session-review
Command "ox-session-review" from sageox/ox, covering failure-mode watch-list (read first), from the ledger root. should print 0, phase 1 — scan & score (read-only), quality buckets (first match wins) and removal candidates.
add-agent
引导新增一个 Agent 适配器。用法 /add-agent.
handoff
Package current state for the next agent.
xdo
Direct development by the Main Agent.