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 claude-toolkit-rulesgit 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/claude-toolkit-rules)<a href="https://agentmods.dev/skills/softspark/ai-toolkit/claude-toolkit-rules"><img src="https://agentmods.dev/badge/skills/softspark/ai-toolkit/claude-toolkit-rules/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/claude-toolkit-rules"><img src="https://agentmods.dev/badge/skills/softspark/ai-toolkit/claude-toolkit-rules.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00048 | $0.00499 |
| Opus 5.5 | $0.00019 | $0.00200 |
| Sonnet 5.5 | $0.00010 | $0.00100 |
| Haiku 4.5 | $0.00005 | $0.00050 |
Grade A, and why
claude-toolkit-rules scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
Claude Toolkit Rules
This rule comes from app/rules/claude-toolkit-rules.md in ai-toolkit. It applies to
every task in this workspace, not only when it is loaded.
Claude Toolkit
Shared AI development toolkit — lifecycle hooks, safety constitution, multi-platform support.
Skill Tiers
- Tier 1 — single-agent:
/debug,/review,/refactor,/analyze,/docs,/plan,/explain,/tdd,/triage-issue - Tier 1.5 — planning:
/write-a-prd→/prd-to-plan→/prd-to-issues; design:/design-an-interface,/architecture-audit,/refactor-plan - Tier 2 — multi-agent:
/workflow <type>(feature-development, backend-feature, frontend-feature, api-design, database-evolution, test-coverage, security-audit, debugging, incident-response, spike, codebase-onboarding, performance-optimization, infrastructure-change, application-deploy, proactive-troubleshooting) - Tier 3 — custom:
/orchestrate <desc>(3–6 agents) |/swarm <mode> <desc>(map-reduce | consensus | relay)
Path Safety
- NEVER guess or hallucinate user home directory paths
- Use
~or$HOMEinstead of a hardcoded/Usersor/homeprefix followed by a user name. The literal prefix is deliberately not written out here: the plugin export scans shipped files for exactly that pattern, so an example of the mistake would be indistinguishable from the mistake. - When an absolute path is needed, run
echo $HOMEfirst to get the correct value
User Preferences
- Style: Direct & efficient. No pleasantries. Measurable results.
- Methodology: Provide >=3 alternatives. Use Socratic questioning.
- Review: Apply "Devil's Advocate" critique to decisions.
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 · 38 lines · 48 tokens per session scan A 24c00967d3c8
claude-toolkit-rules is a skill published in the GitHub repository softspark/ai-toolkit (180 stars, last pushed yesterday), licensed Apache-2.0. It adds 48 tokens to every session and 499 once invoked, about $0.0002 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.