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 mikeprasad/aria-knowledge --skill setupgit clone --depth 1 https://github.com/mikeprasad/aria-knowledgeWrote 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/mikeprasad/aria-knowledge/setup)<a href="https://agentmods.dev/skills/mikeprasad/aria-knowledge/setup"><img src="https://agentmods.dev/badge/skills/mikeprasad/aria-knowledge/setup/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/mikeprasad/aria-knowledge/setup"><img src="https://agentmods.dev/badge/skills/mikeprasad/aria-knowledge/setup.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 | $0.00049 | $0.18454 |
| Opus 5.5 | $0.00020 | $0.07382 |
| Sonnet 5.5 | $0.00010 | $0.03691 |
| Haiku 4.5 | $0.00005 | $0.01845 |
Grade A, and why
setup scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Reads agent configuration directorieslowAgent snooping
.claude/, .codex/, .gemini/ hold keys, settings and other credentials a mod has no legitimate need for.
GROUPS_PRESENT=$(grep -c '^projects_groups:$' ~/.gemini/antigravity/aria-knowledge.local.md || true) Downgraded: this mod is about security review, or the phrase is quoted, so it is likely naming the pattern rather than instructing it.
The source is not reproduced here
A licence we could not identify
The repository carries a LICENSE file, but it is custom or dual enough that GitHub cannot name it and neither can this catalogue. Unknown terms are not permission, so the body is not copied here. Read the licence at the source and decide for yourself.
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 · +90 lines 290e175ef13b
- 1mo ago Changed · +24 lines bd90e81c7c9e
- 1mo ago First seen · 724 lines · 49 tokens per session scan A 8e62b0edec45
setup is a skill published in the GitHub repository mikeprasad/aria-knowledge (17 stars, last pushed 16d ago), with no licence file. It adds 49 tokens to every session and 18,454 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 1 finding (reads agent configuration directories). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other skills, from other repositories
remember
Routes user requests containing "remember", "recall", "checkpoint", "session", "todo", or "where were we" to the correct OpenEmpiric (OEM) MCP tool. Use when the user wants to persist, retrieve, or contextualize knowledge from project memory.
knowledge-org
A guide to organising large bodies of knowledge so an AI system can navigate relationships, summaries, and layers instead of searching only flat text chunks. It covers tree indexes, knowledge graphs, file-like structures, incremental updates, and long-term memory layouts.
company-brain
How an agent should operate as one mind inside a shared Company Brain built on Caura — recall before acting, obey fleet keystones, reuse and publish skills, and report outcomes so every task compounds across the whole organization. Use this whenever you work as part of a Caura-connected team or fleet and your work…
lifecycle_report
Scan project memory for v1.7.1 lifecycle frontmatter · report tier distribution + promotion candidates (reinforcecount >= promoteafter) · NO LLM.
session_audit
Scan project memory · age distribution + ungrouped count (L1 build readiness) + per-namespace entity stats · NO LLM.
evaluate
Evaluate requirements, feature requests, and task intake against project DDD context. Produces a GO/DEFER/REJECT/ESCALATE recommendation with ROI scoring, scope definition, and acceptance criteria. TRIGGER: "evaluate this request", "should we build this", "assess this requirement", "triage this". NOT FOR…