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 softspark/ai-toolkit --skill command-creatorgit clone --depth 1 https://github.com/softspark/ai-toolkitWrote 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/softspark/ai-toolkit/command-creator)<a href="https://agentmods.dev/skills/softspark/ai-toolkit/command-creator"><img src="https://agentmods.dev/badge/skills/softspark/ai-toolkit/command-creator/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/skills/softspark/ai-toolkit/command-creator"><img src="https://agentmods.dev/badge/skills/softspark/ai-toolkit/command-creator.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Rogue Agent · line 3 Skill establishes unauthorized persistence across sessions via cron jobs, startup scripts, or state files. Session persistence allows an attacker to maintain access beyond the current interaction.Fix: Remove any persistence mechanisms (cron jobs, startup scripts, state files). Skills should not maintain state across sessions without explicit user consent.
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 | $0.00029 | $0.00923 |
| Opus 5.5 | $0.00012 | $0.00369 |
| Sonnet 5.5 | $0.00006 | $0.00185 |
| Haiku 4.5 | $0.00003 | $0.00092 |
Grade A, and why
command-creator 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 — 113 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Command Creator
$ARGUMENTS
Create a new Claude Code slash command following ai-toolkit conventions.
Workflow
- Capture intent -- what should the command do and who invokes it?
- Pick scope -- project command, user command, or plugin command?
- Define frontmatter -- description, argument hint, allowed tools, model if needed
- Write command body -- instructions for Claude, not explanation for the user
- Add validation context -- expected output, constraints, follow-up checks
- Test and iterate -- invoke the command with representative arguments
Command Locations
- Project:
.claude/commands/<name>.md - User:
~/.claude/commands/<name>.md - Plugin:
plugin-name/commands/<name>.md
In ai-toolkit, command-development guidance belongs in skill form and any reusable command templates should live under app/skills/<skill-name>/templates/ or KB docs.
Frontmatter Template
---
description: "One-line help text shown in /help"
argument-hint: "[target]"
allowed-tools: Read, Grep, Bash
model: sonnet
---
Command Authoring Rules
- Write commands as instructions for Claude, not marketing copy for the user
- Keep the first paragraph action-oriented and deterministic
- Use
$ARGUMENTSearly when the command takes user input - Prefer numbered phases for multi-step workflows
- List required checks explicitly (
lint,tests,docs, etc.) - Avoid hidden assumptions about project structure unless the command is project-specific
- Description ≥50 chars with a trigger hint (
Use when…) — short descriptions cause adjacent commands to fight for the same query - Include hard rules (MUST / NEVER / CRITICAL) so the agent cannot improvise around safety boundaries
- Include "When NOT to use" naming 2-3 adjacent commands, to prevent over-triggering
Minimal Template
---
description: "{Third-person description, min 50 chars, with trigger hint like 'Use when...'}"
argument-hint: "[arguments]"
allowed-tools: Read, Grep, Bash
---
# {Command Title}
$ARGUMENTS
Perform the requested task using this workflow:
1. Gather context from the repository.
2. Ask clarifying questions if critical information is missing.
3. Execute the task using the smallest safe set of changes.
4. Validate the result.
5. Summarize outcome and follow-up actions.
## Example
\`\`\`
/{command} example-argument
\`\`\`
## Rules
- **MUST** {non-negotiable rule}
- **NEVER** {forbidden action}
## Gotchas
- {environment-specific trap — only if the command has one; omit the section otherwise}
## When NOT to Use
- For {adjacent use case} -- use `/{other-command}` instead
- If {precondition} is not met
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 · 113 lines · 29 tokens per session scan A c5693e523df9
command-creator is a skill published in the GitHub repository softspark/ai-toolkit (180 stars, last pushed yesterday), licensed Apache-2.0. It adds 29 tokens to every session and 923 once invoked, about $0.0001 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 2026-09-03.
Other skills, from other repositories
cline-fix-volatile-msg
Ladder-aware Cline Anthropic caching — verify the rolling read/write ladder on the wire, then add the tools breakpoint and tune TTL. Updated for the 2026-08 AI-SDK monorepo.
continue-gemini-explicit
Continue's Gemini provider doesn't use the cachedContents API at all. Add explicit caching for sessions over the minimum token threshold.
roo-fix-volatile-msg
Ladder-aware Roo Code Anthropic caching — verify the rolling read/write ladder on the wire, then close the real gaps (Vertex 4-block budget, MiniMax path).
aider-1h-ttl
Aider uses 5min TTL by default and works around long pauses with keepalive pings. Wire up the 1h TTL beta instead.
cline-openai-cache-key
Cline OpenAI native provider sends no promptcachekey. Add a stable per-task key so cachedtokens stops being zero.
continue-enable-defaults
Continue's prompt caching is opt-in via config and off by default. Flip the default to systemAndTools.