Gini Agent is a personal AI-agent runtime that manages conversations, runs, tasks, approvals, memory, skills, jobs, tools, traces, audit events, and runtime health across its clients. It is for an agent that can remember, learn from task outcomes, and operate through desktop or mobile interfaces with user controls. Catalogue add-ons extend the runtime with skills and instructions.
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 agentmods add skills/open-curiosity/gini-agent/create-skillnpx skills add Open-Curiosity/gini-agent --skill create-skillgit clone --depth 1 https://github.com/Open-Curiosity/gini-agentWrote 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/open-curiosity/gini-agent/create-skill)<a href="https://agentmods.dev/skills/open-curiosity/gini-agent/create-skill"><img src="https://agentmods.dev/badge/skills/open-curiosity/gini-agent/create-skill.svg" alt="Measured on agentmods" 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 | $0.00030 | $0.01868 |
| Opus 5 | $0.00015 | $0.00934 |
| Sonnet 5 | $0.00006 | $0.00374 |
| Haiku 4.5 | $0.00003 | $0.00187 |
Grade A, and why
create-skill 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 5d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
`gh`, `jq`, or `curl`, record those under `prerequisites.commands` and How it starts
The opening of the file, as written. The whole thing — 188 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Create Skill
You author new skills from a prompt and migrate legacy skills to the Anthropic Agent Skills specification. The goal is one spec-compliant SKILL.md plus optional scripts the agent can later run.
When To Use
- User asks "create a skill for X" or "add a skill that does X".
- User pastes a SKILL.md that is missing required fields or uses the
legacy top-level fields (
version,author,platforms,prerequisites,requires.connectors). - User asks "make this work" while looking at a non-spec SKILL.md.
Spec Reference
Required top-level frontmatter keys (Anthropic Agent Skills spec):
name— max 64 chars, lowercase + digits + hyphens, must equal the parent directory name.description— max 1024 chars.
Optional spec keys:
license— free-form string.compatibility— max 500 chars; human summary of environment needs.metadata— arbitrary; Gini extensions live undermetadata.gini.*.allowed-tools— space-separated list of tool names the skill plans to invoke (advisory; recorded in audit trail).
Gini extensions (under metadata.gini):
version,author,platformsprerequisites: { commands, env }requires.credentials: [<credential-name>]— the credential names the skill needs, referenced by name (e.g.[LINEAR_API_KEY]for an api-key credential,[google-workspace-oauth]for the Google oauth2 credential). This is the current, preferred form.requires.connectors: [{ provider, scopes? }]— still accepted for backward compatibility during the migration window; preferrequires.credentials.
Procedure
-
Confirm the user's intent. If the request is "create a skill that posts to Slack", clarify whether the skill should also read messages, list channels, etc. — surface the cardinality so the design is right.
-
Decide whether the skill needs a credential. Use
requires.credentialsonly when the skill needs a configured account, credential, remote API, or connector-backed local integration. Each entry is a credential NAME —LINEAR_API_KEYfor an api-key credential,google-workspace-oauthfor the Google oauth2 credential. Check the configured credentials inGET /api/connectorsto find the right name. If the skill only needs local commands such asgit,gh,jq, orcurl, record those underprerequisites.commandsand setrequires.credentials: []. If the skill truly needs a credential that hasn't been configured yet, name it the way the credential will be stored (the env-var name for an api-key) and tell the user to add it. Do not ask the user to pick between install/skip on unknown credentials — default to forward motion. (requires.connectors: [{ provider }]is still accepted for backward compatibility, butrequires.credentialsis preferred.)
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.
- 5d ago First seen · 188 lines · 30 tokens per session scan A ed43af22d80a
create-skill is a skill published in the GitHub repository Open-Curiosity/gini-agent (1,869 stars, last pushed 1mo ago), licensed MIT. It adds 30 tokens to every session and 1,868 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other skills, from other repositories
gno
Search local documents, files, notes, and knowledge bases. Index directories, search with BM25/vector/hybrid, get AI answers with citations. Use when user wants to search files, find documents, query notes, look up information in local folders, index a directory, set up document search, build a knowledge base, needs…
vibelution-continuous-optimization-loop
Runs one evidence-driven Vibelution optimization iteration from the ROI backlog: pick one todo item, worktree isolate, implement, machine-verify, merge, update STATE. Use when the user starts /loop for project improvement, continuous optimization, or agent-dev ROI backlog work.
personal-assistant
Use this skill whenever the user acts like Bamboo is their personal assistant. Triggers include stating commitments, deadlines, appointments, or recurring routines ("remind me to...", "I need to... by Friday", "every Monday I..."), asking to be reminded of something, agenda questions ("what's on my plate", "what's due…
review
Review code changes, pull requests, patches, or a scoped code area for actionable correctness, security, compatibility, and test risks with file and line evidence. Use for review or audit requests; do not use for general proofreading, feature implementation, or debugging a reported failure when the user wants a fix.
debug
Diagnose a concrete failure, regression, crash, hang, flaky test, or incorrect runtime behavior by reproducing it, testing hypotheses, and identifying the evidence-backed root cause. Use when symptoms or failing output exist; do not use for feature implementation without a failure, general code review, or a conceptual…
plan
Build an executable implementation, migration, or rollout plan from read-only repository exploration, including constraints, dependencies, ordered changes, verification, risks, and rollback points. Use when the user asks for a plan or decomposition before implementation; do not use when they want a small change…