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 Principle-Labs/Corivo --skill corivo-querygit clone --depth 1 https://github.com/Principle-Labs/CorivoWrote 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/principle-labs/corivo/corivo-query)<a href="https://agentmods.dev/skills/principle-labs/corivo/corivo-query"><img src="https://agentmods.dev/badge/skills/principle-labs/corivo/corivo-query/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/principle-labs/corivo/corivo-query"><img src="https://agentmods.dev/badge/skills/principle-labs/corivo/corivo-query.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 | $0.00027 | $0.00564 |
| Opus 5 | $0.00014 | $0.00282 |
| Sonnet 5 | $0.00005 | $0.00113 |
| Haiku 4.5 | $0.00003 | $0.00056 |
Grade A, and why
corivo-query 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 10d 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
Corivo Query
Recall relevant memory from the local Corivo runtime before answering.
When to use
Use this skill when the user asks things like:
- "我之前说过什么"
- "记得吗"
- "我们之前决定了什么"
- "我的偏好是什么"
- "这个项目以前怎么定的"
Execution flow
- Check whether Corivo is installed:
which corivo || echo "NOT_INSTALLED"
If Corivo is missing, tell the user:
[corivo] 需要先安装 Corivo：
npm install -g corivo
corivo init
- Check runtime status:
corivo status
If the runtime is not initialized, tell the user instead of guessing.
- Query with the user request or a distilled keyword set:
corivo query "<keywords>" --limit 5
- If the request clearly targets a category, narrow the search:
corivo query "<keywords>" --annotation "<nature> · <domain>" --limit 5
- Summarize only the relevant memories and state when nothing useful was found.
Guidelines
- Query before answering if the request depends on prior durable memory.
- Be explicit when no memory is found.
- Do not treat Corivo output as ground truth if it conflicts with current user instructions.
- If the conversation creates a new durable decision, suggest saving it afterward.
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.
- 10d ago First seen · 104 lines · 27 tokens per session scan A 4d3630ccb04a
corivo-query is a skill published in the GitHub repository Principle-Labs/Corivo (5 stars, last pushed 5mo ago), licensed MIT. It adds 27 tokens to every session and 564 once invoked, about $0.0001 per session on Opus 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 2026-08-31.
Other skills, from other repositories
knowledge-base
Create and maintain a Markdown knowledge base that any AI agent can read, search, and update. Use when the user wants to start a knowledge base, add or update notes, organize docs/notes for an agent or LLM to consume, build an index of notes, or run a cleanup/maintenance pass on an existing MD knowledge base. Triggers…
obsidian-vault
Organize Obsidian vaults with MOCs, wikilinks, frontmatter/properties, dashboards, orphan-note checks, and cleanup workflows. Use ONLY when the user explicitly refers to Obsidian — by naming "Obsidian", an Obsidian "vault", or an Obsidian-specific feature such as wikilinks ("[[ ]]"), the Dataview or Bases plugins, or…
task-agent-eliza-bridge
Use when spawning a Claude Code, Codex, Gemini, Aider, or other CLI task agent whose work needs parent Eliza runtime context. Covers the read-only loopback bridge for character, room, memory, and active workspace state.
browserwing-admin
Manage and operate BrowserWing — an intelligent browser automation platform. Install dependencies, configure LLM, create/manage/execute automation scripts, use AI-driven exploration to generate scripts, browse the script marketplace, and troubleshoot issues.
hive.note-taking
Maintain a free-form scratchpad of decisions, extracted values, and open questions so context pruning doesn't lose anything you still need.
memory
Use when the user asks to remember, recall, forget, update, search, or inspect durable OpenSquilla memory, including profile facts in USER.md and long-term notes in MEMORY.md or memory//.md.