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 cindy-skill-creatorgit 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/cindy-skill-creator)<a href="https://agentmods.dev/skills/makecindy/cindy/cindy-skill-creator"><img src="https://agentmods.dev/badge/skills/makecindy/cindy/cindy-skill-creator/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/cindy-skill-creator"><img src="https://agentmods.dev/badge/skills/makecindy/cindy/cindy-skill-creator.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 | $0.00041 | $0.03227 |
| Opus 5.5 | $0.00016 | $0.01291 |
| Sonnet 5.5 | $0.00008 | $0.00645 |
| Haiku 4.5 | $0.00004 | $0.00323 |
Grade A, and why
cindy-skill-creator 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 23d 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.
This is a copy
94% identical to skill-creator — 43 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 247 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Skill Creator
Create Skills that give the current Agent useful, non-obvious guidance without constraining unrelated work.
For searching SkillHub, uploading a local Skill, or updating an already-published Skill, read references/skillhub-publishing.md and follow the relevant workflow. Searching, local editing and cloud publication are separate actions; publish when the user requests it. An explicit upload/update request is authorization for that publication; ask only for missing choices such as the target Skill or first-publication visibility.
Core Principles
Assume the Agent is already capable. Include only information that changes its decisions or improves its work. Remove generic advice, repeated instructions, speculative edge cases, and examples that do not materially clarify the task.
Preserve user intent and scope. A skill should support the requested task, not replace the user's chosen product, expand the assignment, modify unrelated configuration, or imply permission for additional external actions. Do not turn a particular example, past failure, or personal preference into a universal requirement.
Approval to complete a task does not expand its scope or execution permissions. For retrying or externally mutating workflows, define a stopping condition proportional to the risk.
Match specificity to the risk. Give the model room to choose an appropriate approach when multiple approaches are reasonable. Use detailed steps, deterministic scripts, or absolute language only when correctness, safety, permissions, or a genuinely fragile workflow requires them.
For open-ended work, describe the outcome and relevant decision criteria. For workflows with a preferred shape, offer useful examples or configurable scripts. Reserve fixed sequences and narrow parameters for operations where deviation would cause a concrete problem. Preserve non-obvious operational invariants, distinguish actual requirements from optional recommendations or local conventions, and avoid restating policies already enforced elsewhere.
What ships with it
29 files 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.
- agents/openai.yaml 195 B
- assets/skill-creator-small.svg 1.3 KB
- assets/skill-creator.png 1.5 KB
- license.txt 11 KB
- references/openai_yaml.md 2.3 KB
- references/skillhub-publishing.md 6.5 KB
- scripts/_frontmatter.py 5.4 KB runs code
- scripts/_vendor/PyYAML-LICENSE.txt 1.1 KB
- scripts/_vendor/PyYAML-VERSION.txt 250 B
- scripts/_vendor/yaml/__init__.py 12 KB runs code
- scripts/_vendor/yaml/composer.py 4.8 KB runs code
- scripts/_vendor/yaml/constructor.py 28 KB runs code
- scripts/_vendor/yaml/cyaml.py 3.8 KB runs code
- scripts/_vendor/yaml/dumper.py 2.8 KB runs code
- scripts/_vendor/yaml/emitter.py 42 KB runs code
- scripts/_vendor/yaml/error.py 2.5 KB runs code
- scripts/_vendor/yaml/events.py 2.4 KB runs code
- scripts/_vendor/yaml/loader.py 2.0 KB runs code
- scripts/_vendor/yaml/nodes.py 1.4 KB runs code
- scripts/_vendor/yaml/parser.py 25 KB runs code
- scripts/_vendor/yaml/reader.py 6.8 KB runs code
- scripts/_vendor/yaml/representer.py 14 KB runs code
- scripts/_vendor/yaml/resolver.py 8.8 KB runs code
- scripts/_vendor/yaml/scanner.py 50 KB runs code
- scripts/_vendor/yaml/serializer.py 4.1 KB runs code
- scripts/_vendor/yaml/tokens.py 2.5 KB runs code
- scripts/generate_openai_yaml.py 6.8 KB runs code
- scripts/init_skill.py 10 KB runs code
- scripts/quick_validate.py 4.3 KB runs code
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.
- 23d ago Changed · +2 lines · +18 tokens per session 097eecdbef77
- 26d ago First seen · 245 lines · 23 tokens per session scan A 82739bb7725c
cindy-skill-creator is a skill published in the GitHub repository makecindy/cindy (3,131 stars, last pushed today), licensed Apache-2.0. It adds 41 tokens to every session and 3,227 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 94% identical to skill-creator, differing in 43 lines, and is treated as a copy.
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