Cindy is an open-source local AI agent that combines coding harnesses, language models, tools, memory, and skills to complete work across files, applications, browsers, computers, and phones. Its desktop and mobile client lets users switch between Claude Code, Codex, other models, and connected services while keeping task context continuous. The catalogue instructions relate to operating or developing this agent.
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 makecindy/cindy --skill learngit clone --depth 1 https://github.com/makecindy/cindyWrote 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/makecindy/cindy/learn)<a href="https://agentmods.dev/skills/makecindy/cindy/learn"><img src="https://agentmods.dev/badge/skills/makecindy/cindy/learn/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/makecindy/cindy/learn"><img src="https://agentmods.dev/badge/skills/makecindy/cindy/learn.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 | $0.00042 | $0.00342 |
| Opus 5.5 | $0.00017 | $0.00137 |
| Sonnet 5.5 | $0.00008 | $0.00068 |
| Haiku 4.5 | $0.00004 | $0.00034 |
Grade A, and why
learn 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 26d 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
Learn
Start Cindy's managed Learn flow. Cindy gathers relevant evidence, creates the Skill in a separate task, and presents a diff for review before saving anything to the user's Skills directory.
Do not create or edit Skill files directly as a substitute for this flow.
Parse the invocation text after /learn (or Pi's /skill:learn runtime alias) and call cindy_helper → call_tool once with name: "start_skill_learning":
- With no text, pass
source_kind: "session"andinput: "". - For
hub:<slug> [instructions], passsource_kind: "hub",hub_slug: <slug>,hub_catalog_scope: "market", and the remaining text asinput. - For
hub:<market|team>:<slug> [instructions], use the statedhub_catalog_scope. - Otherwise pass
source_kind: "freetext"and the full remaining text asinput.
Do not pass a task ID, working directory, or output path. Cindy binds the current task and owns staging, review, and installation.
After a successful call, briefly tell the user that Learn started and that progress and review will appear in Cindy. Do not poll or call the tool again. If the helper or tool is unavailable, say that this Skill requires Cindy's Learn host; do not bypass its review flow by writing Skill files directly.
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 26d ago First seen · 22 lines · 42 tokens per session scan A 4138fcf1acc0
learn is a skill published in the GitHub repository makecindy/cindy (3,131 stars, last pushed today), licensed Apache-2.0. It adds 42 tokens to every session and 342 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 2026-09-20.
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