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 ai-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/ai-toolkit-rules)<a href="https://agentmods.dev/skills/softspark/ai-toolkit/ai-toolkit-rules"><img src="https://agentmods.dev/badge/skills/softspark/ai-toolkit/ai-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/ai-toolkit-rules"><img src="https://agentmods.dev/badge/skills/softspark/ai-toolkit/ai-toolkit-rules.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to high
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 →
- high Tool Misuse · line 263 Tool parameters are crafted to achieve unintended or unsafe behavior. Parameter abuse can bypass intended safety checks (e.g. shell=True, --force, dangerous glob patterns).Fix: Validate all tool parameters against an allowlist. Reject dangerous parameter values (shell=True, --force, -rf /) and use safe defaults.
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 | $0.00056 | $0.05272 |
| Opus 5.5 | $0.00022 | $0.02109 |
| Sonnet 5.5 | $0.00011 | $0.01054 |
| Haiku 4.5 | $0.00006 | $0.00527 |
Grade A, and why
ai-toolkit-rules scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 436 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AI Toolkit Rules
Apply every relevant rule below before acting. Treat MUST/NEVER language as mandatory.
Source: app/rules/claude-toolkit-rules.md
Claude Toolkit
Shared AI development toolkit — lifecycle hooks, safety constitution, multi-platform support.
Skill Tiers
- Tier 1 — single-agent:
/debug,/review,/refactor,/analyze,/docs,/plan,/explain,/tdd,/triage-issue - Tier 1.5 — planning:
/write-a-prd→/prd-to-plan→/prd-to-issues; design:/design-an-interface,/architecture-audit,/refactor-plan - Tier 2 — multi-agent:
/workflow <type>(feature-development, backend-feature, frontend-feature, api-design, database-evolution, test-coverage, security-audit, debugging, incident-response, spike, codebase-onboarding, performance-optimization, infrastructure-change, application-deploy, proactive-troubleshooting) - Tier 3 — custom:
/orchestrate <desc>(3–6 agents) |/swarm <mode> <desc>(map-reduce | consensus | relay)
Path Safety
- NEVER guess or hallucinate user home directory paths
- Use
~or$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.
Source: app/rules/edit-discipline.md
Edit Discipline & Reviewable Changes
Edit files with the editing tools, not the shell
Use the edit and write tools to change a file. Do not rewrite tracked files
through bash with sed, awk, tee, a heredoc, or > redirection.
This is not a style preference. A shell rewrite is opaque to the host: the
session records a command, not a change. An edit call records which file
changed and how, so the interface can render it, a reviewer can read it, and a
later turn can cite it. A sed line records none of that, and the only way to
find out what happened is to read the file again.
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 Changed · +12 lines ddf3664d682d
- 1mo ago Changed · +7 lines 7db7f4af52cf
- 1mo ago Changed · +14 lines b23d3d939e80
- 1mo ago Changed · +43 lines 7c5a104bd584
- 1mo ago First seen · 360 lines · 56 tokens per session scan A 2698d543669c
ai-toolkit-rules is a skill published in the GitHub repository softspark/ai-toolkit (180 stars, last pushed 9d ago), licensed Apache-2.0. It adds 56 tokens to every session and 5,272 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 2026-08-30.
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.
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.
continue-fix-volatile-msg
Ladder-aware Continue Anthropic caching — verify the rolling ladder on the wire, then enable it by default and add TTL coverage.