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 skills add ychampion/cskill-agents --skill feature-gated-command-registry-loadinggit clone --depth 1 https://github.com/ychampion/cskill-agentsWrote 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/ychampion/cskill-agents/feature-gated-command-registry-loading)<a href="https://agentmods.dev/skills/ychampion/cskill-agents/feature-gated-command-registry-loading"><img src="https://agentmods.dev/badge/skills/ychampion/cskill-agents/feature-gated-command-registry-loading.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 | $0.00030 | $0.00440 |
| Opus 5 | $0.00015 | $0.00220 |
| Sonnet 5 | $0.00006 | $0.00088 |
| Haiku 4.5 | $0.00003 | $0.00044 |
Grade A, and why
feature-gated-command-registry-loading 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 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.
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 — 30 lines — stays where its author put it; the contents beside it link to each section on GitHub.
SKILL: Feature-Gated Command Registry Loading
Domain: Command Architecture
Trigger: Use when a command registry must gate optional commands behind feature flags and only initialize them when the registry is actually requested.
Source Pattern: Distilled from reviewed command-surface, feature-gating, and lazy-registry implementations.
Core Method
List the baseline commands normally, but place optional commands behind explicit feature checks so their modules do not load unless the feature is enabled. Build the registry lazily and cache the result after first access so startup does not pay for configuration reads or heavyweight command wiring. If you maintain companion registries such as internal-only or hidden commands, derive them from the same gated entries instead of rebuilding the logic in parallel.
Key Rules
- Wrap each optional command in a feature check or runtime gate before loading its module.
- Build the registry inside a lazy cached function rather than at module scope.
- For any auxiliary command lists (internal, plugin, or plugin-derived), reuse the same filtered, feature-gated entries instead of recomputing or hardcoding duplicates.
- Keep metadata like
commandName/descriptionstable in the base list so the gating decision can focus solely on the inclusion of arequire.
Example Application
If you add an advanced /insights command, keep it behind a feature gate and load it only when the gate is enabled and the registry is requested. Users without that feature never pay the startup cost of the heavy module.
Anti-Patterns (What NOT to do)
- Don’t unconditionally
import './commands/insights.js'at the top level, which loads a massive module even when the feature is disabled. - Don’t build the full registry during module initialization; that forces configuration reads and spills all commands into every consumer.
- Don’t create separate standalone registries per feature; use one memoized array and gate entries inside it to keep lookups predictable.
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 · 30 lines · 30 tokens per session scan A baaf78ba6917
feature-gated-command-registry-loading is a skill published in the GitHub repository ychampion/cskill-agents (36 stars, last pushed 5mo ago), licensed MIT. It adds 30 tokens to every session and 440 once invoked, about $0.0002 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 2026-08-30.
Other skills, from other repositories
grape
Use Grape MCP for Codex context continuity in coding repositories. Use when a task needs repeated-turn context, omitted context restore, stale-context checks, invalidation checks, or safe continuity across branch and dirty-worktree changes.
opensrc
Fetch dependency source code to give AI agents deeper implementation context. Use when the agent needs to understand how a library works internally, read source code for a package, fetch implementation details for a dependency, or explore how an npm/PyPI/crates.io package is built. Triggers include "fetch source for"…
review
Validate plans, execution, or PRs against wish criteria — returns SHIP / FIX-FIRST / BLOCKED with severity-tagged gaps.
work
Execute an approved wish plan — orchestrate subagents per task group with fix loops, validation, and review handoff.
brainstorm
Explore ambiguous or early-stage ideas interactively — tracks wish-readiness and crystallizes into a design for wish.
genie
Entry point for Genie operations — routes bug reports, questions, and operational commands, resumes existing lifecycle state, and orchestrates work that needs durable planning or coordination. Other ordinary requests bypass the lifecycle with a one-line notice unless the user asks for Genie.