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.
git clone --depth 1 https://github.com/rjmurillo/ai-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/commands/rjmurillo/ai-agents/claude)<a href="https://agentmods.dev/commands/rjmurillo/ai-agents/claude"><img src="https://agentmods.dev/badge/commands/rjmurillo/ai-agents/claude/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/commands/rjmurillo/ai-agents/claude"><img src="https://agentmods.dev/badge/commands/rjmurillo/ai-agents/claude.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00000 | $0.00042 |
| Opus 5.5 | $0.00000 | $0.00017 |
| Sonnet 5.5 | $0.00000 | $0.00008 |
| Haiku 4.5 | $0.00000 | $0.00004 |
Grade A, and why
CLAUDE 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 2mo 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
No recent activity
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.
- 2mo ago First seen · 8 lines · 0 tokens per session scan A dbfec62ab652
CLAUDE is a command published in the GitHub repository rjmurillo/ai-agents (49 stars, last pushed today), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 42 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 2026-08-30.
Other commands, from other repositories
cs-internal-comms
Internal-only change-management comms using ADKAR (Prosci) + Kotter's 8-step. NOT marketing (external) and NOT executive narrative strategy. Direct invocation of the internal-comms skill.
cs-knowledge-ops
Company SOP + runbook authoring with 5W2H completeness checks. NOT personal PKM (that's llm-wiki). NOT engineering-specific runbooks. Direct invocation of the knowledge-ops skill.
cs-process-map
Map an internal business process (BPMN-style swim lanes), measure cycle time, and detect bottlenecks where work spends most of its time waiting. Direct invocation of the process-mapper skill.
research-verify
Verify existing research findings against independent primary sources. Upgrades confidence from 'sources agree' to 'independently verified.'.
plan-change
Interactive change-planning session to prepare context for /write-spec.
write-plan
Generate or update implementation plan.