Agent skill

Clawdi

by Clawdi-AI in Clawdi-AI/clawdi

API keys, tokens, memory, sessions, Projects, integrations. An agent skill from Clawdi-AI/clawdi.

MITAuto-check: notesProductivity & Automation

Install Clawdi

skills CLI
$ npx skills add Clawdi-AI/clawdi --skill clawdi -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install Clawdi-AI/clawdi clawdi --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/Clawdi-AI/clawdi.git skills-src && mkdir -p .claude/skills && cp -r skills-src/packages/cli/skills/clawdi .claude/skills/clawdi && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
clawdi
GitHub stars
103
Token cost
~4.8k tokens
SKILL.md length
2,569 words
Files
1
Skills in repo
2
Repo updated
First seen
Licence
MIT

At a glance

API keys, tokens, memory, sessions, Projects, integrations. An agent skill from Clawdi-AI/clawdi.

  • Works in 5 steps: Start the connector workflow with… → Before a side effect, require a complete… → When search reports no active connection… → …
  • Tasks that involve Email management
  • SKILL.md covers Context Routing, Memory, Sessions and Projects, plus 6 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Clawdi is an agent skill from Clawdi-AI/clawdi. API keys, tokens, memory, sessions, Projects, integrations. Use Clawdi when a task needs passwords or safe credential storage/provision, missing user memory or Project/Vault context, past conversations, Clawdi share URLs, or connected-service fallback such as Gmail, GitHub, Notion, Drive, or Calendar. Do not invoke solely because a project, person, repo, or tool is named.

Its SKILL.md is about 4.8k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Productivity & Automation, covering Email management. It works with GitHub, Gmail and Notion. The licence is MIT.

When your agent uses it

  • Tasks that involve Email management

Example prompts

  • “/clawdi”

Workflow steps

5 steps, taken from the first numbered list in SKILL.md.

  1. Start the connector workflow with COMPOSIO_SEARCH_TOOLS. Follow its exposed
  2. Before a side effect, require a complete target identity and all schema-required inputs.
  3. When search reports no active connection and the user wants to connect, call
  4. Use a wait or status operation only when tools/list exposes one. Follow its actual schema
  5. Execute exact returned slugs through COMPOSIO_MULTI_EXECUTE_TOOL with schema-compliant

What it can do on your machine

Read from SKILL.md and the folder at commit a758fcc. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are bash).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Clawdi loads about 4.8k tokens when it runs. Until then it costs about 95 tokens; SKILL.md has 2,569 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~95
When it runs · the whole SKILL.md, loaded when a task matches
~4.8k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check: notes

The automated check noted patterns worth knowing about, such as sudo or a known installer.

  • NoteMentions a .env fileSKILL.md:141
    .env on the page, preview replacements, and apply them to the same form. Original requested
  • NoteMentions a .env fileSKILL.md:182
    t <project-uuid> --out /absolute/project/.env
  • NoteMentions a .env fileSKILL.md:183
    lawdi vault pull --out /absolute/project/.env

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from Clawdi-AI/clawdi at commit a758fcc, republished under its MIT licence (© Clawdi-AI). 2,569 words, ~4,760 tokens.

Download SKILL.mdSave it as .claude/skills/clawdi/SKILL.md (or your agent's skills folder).
name
clawdi
description
API keys, tokens, memory, sessions, Projects, integrations. Use Clawdi when a task needs passwords or safe credential storage/provision, missing user memory or Project/Vault context, past conversations, Clawdi share URLs, or connected-service fallback such as Gmail, GitHub, Notion, Drive, or Calendar. Do not invoke solely because a project, person, repo, or tool is named.

Clawdi

Use Clawdi tools through the clawdi MCP server when they provide context or capabilities unavailable more directly.

Context Routing

Use the current conversation and user-provided artifacts first. For project facts, inspect the workspace, repository documentation, and local history. Use memory_search only for missing user-specific preferences, decisions, or prior context. Use session_list, session_search, and session_get only when the user asks for past conversations or transcript-level detail is necessary. Do not call Memory and Session speculatively or in parallel. A named entity alone does not justify a Cloud lookup, and an empty Memory result does not justify a Session search.

Memory

Memory is durable user-specific context shared across agents.

  • memory_search — Search durable memory by natural-language query.
  • memory_list — Review stored memories and their stable IDs.
  • memory_create — Save a durable fact, preference, pattern, decision, or project context.
  • memory_update — Replace one exact memory's content without changing its metadata.
  • memory_delete — Delete one exact memory by ID.
  • memory_extract — Prepare memories from the current conversation. Follow its returned review-and-confirm instructions and wait for user approval before calling memory_create.

Use memory_create for explicit "remember this" requests or durable user-specific preferences and decisions not discoverable from the repository. Ask when persistence is unclear. Do not save routine task completion, code facts, speculation, or plaintext secrets; use Vault and remember only the exact clawdi:// reference. List before updating or deleting unless the user already supplied the exact memory ID; never infer which stored item to mutate.

CLI fallback for exact updates: clawdi memory update <full-memory-id> "new content" --json. It preserves metadata; find the exact ID before changing it.

Sessions

  • Use session_list to browse recent sessions or filter by time, Agent, or Project.
  • Use session_search to find past agent conversations by keyword and obtain session UUIDs.
  • Use session_get to read a session by UUID or Clawdi share URL.
  • Use session_share_create to publish an immutable snapshot only when the user explicitly asks to share a Session, part of it, or one Assistant response.
  • Use session_share_list to inspect active links and obtain their exact IDs and kinds.
  • Use session_share_revoke to stop sharing one exact link only when the user asks.

Call session_get when the user provides a Clawdi share URL or session UUID and wants its contents. For a request to open a specific unnamed past conversation, use session_search to find the UUID and then read the selected match.

Do NOT call WebFetch on cloud.clawdi.ai/s/... URLs — session_get is the right tool and avoids the WebFetch permission prompt.

For session_share_create, omit position for the full session scope. For through or response, use the stable message position returned by session_get or session_search, never a filtered array index; response must target an Assistant message. Public snapshots include only the existing safe user/Assistant projection, never reasoning, system/developer messages, hidden events, or tool activity. Before revoking, use session_share_list unless the user already supplied the exact share_id and kind; never infer a link ID or kind.

CLI fallback: clawdi session search "query" --json, then clawdi session read <cloud-session-id> --json. session list is local; session export <cloud-session-id> exports owner Markdown without publishing. Publish only with user authorization: session share <cloud-session-id> --yes. For --through or --response, use the returned canonical message position, never a filtered array index. session shares --json lists active links; revoke the exact link ID with session unshare <share-id> --yes (add --legacy for kind=live).

Remote Skill operations use clawdi agent skills list/read/install/rm <agent-id>; local skill --agent <type> remains separate. Use install --github owner/repo --path skills/name or install --library <skill-id>. Accepted intent is not applied state: check list for convergence and failures. GitHub exact replay needs both original --request-id and --resource-version from the result/error.

Projects

Three read-only tools expose the caller's visible Project context:

  • project_current_get — Read the current or runtime-bound Project.
  • project_list — List visible Projects.
  • project_get — Read one visible Project by UUID.

Strict-v2 Hosted runtimes can read their own Workspace and explicitly linked Projects that remain readable by the owner. project_current_get returns that Workspace; writes, new Vaults, and credential requests are limited to that Workspace. Legacy Agent-bound keys retain their narrower bound-Project read scope. Treat not-found as an access boundary as well as a possible unknown UUID; never bypass it with another tool.

Vault

Vault stores credentials for authorized tools and services; it is not a universal service alternative. Reuse ready, authorized mechanisms before requesting missing credentials. An already-connected, capable Composio integration does not require duplicate credentials in Vault or account migration. Request credentials only when the chosen task path actually needs them.

Vault read tools expose metadata and exact references:

  • vault_list — List Vault attachments and key counts for visible Projects.
  • vault_get — List key names, provenance, and exact clawdi:// references for one attached Vault.

Honor an explicit Vault/source or known local mapping first. Otherwise use vault_list / vault_get metadata to reuse a Vault suited to the task's purpose and access. Create in your own Workspace only when none is appropriate and the task authorizes creation. Clarify ambiguous sources; never create duplicates or write to linked Projects to bypass access.

Use vault_resolve only when the authorized task requires plaintext. The metadata tools return key names and exact references, never secret values. Preserve those references when passing them to an authorized runtime:

  • clawdi://project/<project-id>/vault/<vault>/field/<field>
  • clawdi://project/<project-id>/vault/<vault>/section/<section>/field/<field>

Use the live schemas from the clawdi MCP server as authoritative.

Vault write tools are available for explicit user requests:

  • vault_create — Create a Vault attached to one exact owner Project.
  • vault_item_upsert — Create or replace exact fields in an attached Vault.
  • vault_item_delete — Delete exact fields from a single-Project Vault.

Follow the live schema and supply every required Project, Vault, section, and field identity; never infer an overwrite or deletion. Treat field values as sensitive inputs and never echo them, save them to Memory, or include them in logs. Environment-bound callers may write only their bound Project, and field deletion is rejected when a Vault is attached to multiple Projects. Whole-Vault deletion, attach/detach, and credential profiles remain foreground operator workflows; never bypass that boundary through raw HTTP or daemon RPC.

Request new or updated credentials

Use vault_request_create with exact project_id, vault_id, canonical slug, optional section, and a batch of Vault field names in fields. A Vault is a key bundle: request related new and existing keys together under one link. Include existing keys only when the user authorized updating them; do not delete them first. Existing Vault values remain unchanged until successful submission and are never shown or prefilled. Overlapping pending requests are rejected; a change to any requested field conflicts with the entire batch. Show the returned url unchanged to the user; do not ask them to paste secrets into chat. Opening the link does not consume it. The user can add fields or import a pasted/uploaded .env on the page, preview replacements, and apply them to the same form. Original requested names remain mandatory; only the user chooses extras after link creation (32 fields total). Saving the entire form consumes the link once. Selected fields must still match creation state, and extras cannot overlap another pending request. Status includes saved extras and their exact references; never assume only the originally requested names were saved.

Check vault_request_status with its request_id after the user finishes. pending is not a secret value; supplied means the exact references are ready. On expired or conflict, inspect current Vault metadata and reassess the authorized fields before creating a fresh request; do not blindly retry an overwrite. If creation times out, use vault_get to find recent request IDs before retrying. If submission times out, inspect status before repeating a mutation.

Save and refresh credentials locally

Hosted runtime supplies .clawdi/vaults/ under the native workspace automatically. Connected macOS/Linux/WSL Agents receive the same layout only in the workspace explicitly confirmed by setup. Use that configured path, which may differ from the current repository; do not guess from HOME, daemon CWD, or scanned sessions. Existing registrations without a Vault workspace do not download values. Native Windows daemon/file delivery is unsupported.

Inspect only the configured .clawdi/vaults/index.json to select the intended Vault/section. Load its JSON file inside the authorized process or SDK without printing values or returning them to model/tool-result context merely to save them. These are generated files: do not edit, move or commit them. Hosted agents must not invoke/install the tenant Clawdi CLI. Connected operators configure delivery with clawdi setup --agent <type> --vault-workspace <path>; that changes only the Vault destination, never every repository scanned by the daemon.

After vault_request_status reports supplied, match its Vault ID, section and field names in the index and require the local Vault content_version to be at least the status content_version. The API requires this counter; existing names alone do not prove delivery. If the owned index is incomplete or behind, wait for runtime reconciliation and report unverified delivery. Do not read secret values to check freshness. Report missing workspace bindings instead of inventing a destination. Preserve unrelated local configuration.

Optional CLI environment files

For an explicit operator-run compatibility workflow outside Hosted, use the available CLI. Choose a target outside the generated .clawdi/vaults directory:

bash
clawdi vault materialize --vault <vault-uuid> --project <project-uuid> --out /absolute/project/.env
clawdi vault pull --out /absolute/project/.env

The first command binds the exact source; later pulls reuse it and preserve unrelated assignments. Optional --section <name> selects one section. Files must be untracked, Git-ignored, and not symlinks. Source changes and local edits fail without overwriting. Report only the path, status, and counts. This does not upload local edits, run in the background, or reload a running process's environment.

For explicit import/write, pass fields to vault_item_upsert; use vault_item_delete for exact batch deletions. Never upload local edits automatically.

Show full SKILL.md (1,012 more words)Show less

Wallet Funding

Use clawdi wallet status --json to inspect the authenticated Wallet balance, verified binding, and x402 readiness. Binding and Base USDC top-up are available only through the browser wallet surface; Clawdi does not store the payment private key. Ask the user to fund there. Command-line spending requires a future owner-only or hardware signer authority and is not available.

Connector Routing

Respect an explicit user choice. Otherwise inspect installed service CLIs, direct MCP tools already exposed by the runtime, and authorized API or SDK credentials. If an installed and authenticated official CLI can perform the task, use it directly. Check availability and authentication non-destructively and prefer structured output.

Otherwise reuse a ready, authorized direct integration when it can perform the task. If none is usable and Composio is already connected and capable, use it without demanding a new key, login, installation, or account migration merely to avoid the connector. For remaining setup choices, choose the lowest-setup reliable option for the task. Consult the service's official documentation when installation, authentication, commands, or schemas are uncertain or likely to have changed:

  • Use a trusted direct MCP already configured and exposed by the runtime. Do not automatically download, install, or start an unfamiliar MCP server.
  • Safely install the official CLI when the runtime permits it, the source is verified as official, and no elevation or persistent host change is required.
  • Use the official API or SDK with a verified contract and credentials already authorized for the runtime, including through an exact Vault reference.
  • Use the Clawdi connector when no direct option is usable for the operation.

Before a side effect, establish the exact service account and organization, Project, or tenant. Use connection details from Composio discovery, or explicitly list accounts with COMPOSIO_MANAGE_CONNECTIONS, when the connector identity is not already clear. Fallback must not silently change that identity. Do not scan for credentials, start an interactive login, invent API details, or expose secrets. Choose the path before a side effect and advance only after a definite preflight failure. If a mutation's result is ambiguous, inspect it through the same path; never repeat it through another path.

Connector Account Management

Use COMPOSIO_MANAGE_CONNECTIONS for account management, following its live schema. For the multi-account schema, each toolkits item has name and action:

  • list: Read account IDs, aliases, and statuses. Always specify this action for a lookup: omitting action defaults to add and creates an authorization link.
  • add: Create a new authorization link when the user wants another connection.
  • rename: Set alias on the exact account_id returned by discovery.
  • remove: Delete the exact account_id selected by the user.

Reuse the returned session_id when available. Never guess account IDs, use a mutation to discover accounts, or automatically retry an ambiguous mutation. Do not assume an empty alias clears it unless the live contract confirms that behavior.

Connector Workflow

When the Clawdi connector path is selected, use the Composio Tool Router meta-tools returned by tools/list on the clawdi MCP server. Treat their live names and schemas as authoritative; never assume a fixed meta-tool set.

  1. Start the connector workflow with COMPOSIO_SEARCH_TOOLS. Follow its exposed queries and session schema, reuse the returned session ID throughout that workflow, and use only the exact toolkit and tool slugs it returns. If a required schema is absent or incomplete, call COMPOSIO_GET_TOOL_SCHEMAS; never invent fields or inputs.
  2. Before a side effect, require a complete target identity and all schema-required inputs. Explicit intent authorizes the exact requested action and target, but never authorizes guessing a missing recipient, account, resource, or other target. Ask only for what is missing, and do not request redundant confirmation once the exact action is authorized.
  3. When search reports no active connection and the user wants to connect, call COMPOSIO_MANAGE_CONNECTIONS with explicit action: "add" in the multi-account schema. Follow its exposed schema and interpret only the fields it returns. Continue on active. On initiated, present its non-empty redirect_url as a clickable authentication link with a concise explanation that authorization is pending; the link URL must be exactly that value. If initiated has no non-empty redirect_url, report that authorization cannot continue and stop. On failed, report the returned error and stop. Never construct a substitute link, ask for OAuth credentials, API keys, or tokens, or suggest an out-of-band fallback.
  4. Use a wait or status operation only when tools/list exposes one. Follow its actual schema and status values without inventing polling arguments. Continue only when it reports an active connection; keep waiting only for a non-terminal status its schema defines, and report any terminal failure. If none is exposed, stop until the user reports completing authorization, then re-run search to verify the active connection before continuing.
  5. Execute exact returned slugs through COMPOSIO_MULTI_EXECUTE_TOOL with schema-compliant arguments. Batch only independent calls. Keep ordinary results inline. Set sync_response_to_workbench only when a result may be large or needs later remote processing; use COMPOSIO_REMOTE_WORKBENCH / COMPOSIO_REMOTE_BASH_TOOL only for large responses saved remotely or remote artifacts. Preserve dependencies and returned semantics; follow signed-file metadata, pagination fields, and termination signals exactly as exposed. Select an account only when the schema supports it, and use additional or future meta-tools only according to their live schemas.

AI Provider Management

Provider configuration is also a human operator workflow, not an Agent MCP capability. Do not execute provider CLI commands or handle provider credentials on the user's behalf. When asked, provide an exact clawdi ai-provider command for the operator to run and explain its effect; suggest validate or a non-live test before any explicitly requested live probe.

  • Treat the local Provider Catalog as multi-record metadata. Do not activate it into local agent config; Core Hosted activation is supplied by the runtime manifest/controller, whose configured runtime binds exactly one provider and whose unmanaged runtime binds none.
  • Keep Codex OAuth ownership singular across Hosted runtimes. Hermes/OpenClaw native refresh, revoke, and ownership state belongs to Hosted convergence, not a local CLI materialization command.
  • Default export/import is metadata-only; --include-secrets requires passphrase-encrypted secret export.
  • BYOK model requests go directly from the agent runtime to the configured provider. Clawdi stores metadata and secret references but is not a model proxy.

© Clawdi-AI, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in packages/cli/skills/clawdi of Clawdi-AI/clawdi.

Open the folder on GitHubat commit a758fcc

Compare with similar skills

Clawdi next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Clawdi compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Clawdi this skillClawdi-AI/clawdi103—~4.8kAutomated safety check: NotesMIT
Connect Apps with ComposioComposioHQ/awesome-claude-skills77k3 repos~557Automated safety check: PassNone
Composio Cloud Toolsquarqlabs/argus279—~543Automated safety check: PassApache-2.0
ConnectComposioHQ/awesome-claude-skills77k3 repos~987Automated safety check: PassNone
Setup Lanes Linklanes-sh/app273—~2.3kAutomated safety check: PassNone
Watchervellum-ai/vellum-assistant1.4k—~1.7kAutomated safety check: PassMIT

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More from Clawdi-AI/clawdi

  • Clawdi

    Clawdi-AI/clawdi

    API keys, tokens, memory, sessions, Projects, integrations. An agent skill from Clawdi-AI/clawdi.

    103 GitHub stars~4k tokensUpdated today
    Auto-check: notes

Questions about Clawdi

What does Clawdi do?

API keys, tokens, memory, sessions, Projects, integrations. An agent skill from Clawdi-AI/clawdi. Clawdi is an agent skill from Clawdi-AI/clawdi. API keys, tokens, memory, sessions, Projects, integrations.

When should I use Clawdi?

Clawdi fits situations like: tasks that involve Email management.

How do I install Clawdi in Claude Code?

Run `npx skills add Clawdi-AI/clawdi --skill clawdi -a claude-code`. Or copy the skill folder (packages/cli/skills/clawdi in Clawdi-AI/clawdi) into .claude/skills/clawdi in your project. Claude Code loads it when a task matches its description.

How do I install Clawdi in Codex?

Run `npx skills add Clawdi-AI/clawdi --skill clawdi -a codex`. Or copy the skill folder (packages/cli/skills/clawdi in Clawdi-AI/clawdi) into .agents/skills/clawdi in your project. Codex loads it when a task matches its description.

Can I use Clawdi in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add Clawdi-AI/clawdi --skill clawdi -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/clawdi, .gemini/skills/clawdi, .github/skills/clawdi and .opencode/skills/clawdi in your project.

What does Clawdi need to run?

SKILL.md names no scripts, command-line tools or credentials: Clawdi is instructions for the agent only.

Does Clawdi access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Clawdi safe to install?

Our automated static check of SKILL.md found notes only (mentions a .env file), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.

What licence does Clawdi use?

Clawdi is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Clawdi use?

About 4.8k tokens (SKILL.md is roughly 19k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Clawdi?

Skills that share tags, products or a category with Clawdi: Connect Apps with Composio (ComposioHQ/awesome-claude-skills, 77k stars), Composio Cloud Tools (quarqlabs/argus, 279 stars), Connect (ComposioHQ/awesome-claude-skills, 77k stars) and Setup Lanes Link (lanes-sh/app, 273 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Clawdi?

Clawdi-AI (a GitHub organization) maintains it in Clawdi-AI/clawdi, which has 103 GitHub stars. The repository holds 2 skills in this directory. The repository was last updated on October 9, 2026.

Source: Clawdi-AI/clawdi on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.