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 orieg/gws-connector --skill add-accountgit clone --depth 1 https://github.com/orieg/gws-connectorWrote 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/orieg/gws-connector/add-account)<a href="https://agentmods.dev/skills/orieg/gws-connector/add-account"><img src="https://agentmods.dev/badge/skills/orieg/gws-connector/add-account/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/orieg/gws-connector/add-account"><img src="https://agentmods.dev/badge/skills/orieg/gws-connector/add-account.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 | $0.00524 |
| Opus 5 | $0.00014 | $0.00262 |
| Sonnet 5 | $0.00005 | $0.00105 |
| Haiku 4.5 | $0.00003 | $0.00052 |
Grade A, and why
add-account 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.
How it starts
The opening of the file, as written. The whole thing — 44 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Add Account
Connect a new Google account via OAuth authorization.
Usage
The user provides a label (e.g., "work", "personal", "client-acme") that will be used to reference this account in all tool calls.
Steps
- Ask the user for a label for this account
- Ask the user for their OAuth credentials. They can either:
- Point to a downloaded JSON file: Read the
client_secret_*.jsonfile to extractclient_idandclient_secretfrom theinstalledobject - Provide Client ID and Client Secret directly as text
- If the user has already connected accounts, ask if this new account uses the same GCP project or a different one. If the same, offer to reuse the existing client ID (the secret is in the keychain; they may need to provide it again or point to the same JSON file).
- Point to a downloaded JSON file: Read the
- Call
gws.accounts.addwith the label,clientId, andclientSecretparams. The tool opens the browser and waits up to ~60 seconds for the user to complete consent. - The response is one of:
- Success → report the connected email and total account count.
- Error → report and stop.
- Status: pending (user was slow) → call
gws.accounts.completewith the returnedpendingId. Repeat until success or error.
- The client secret is stored securely in the OS keychain.
Per-account credentials
Each account stores its own OAuth credentials. Different Google Workspace organizations need different GCP OAuth apps. For example:
personalaccount: uses your personal GCP project's credentialsworkaccount at Company A: uses Company A's GCP project credentialsclient-acmeaccount: uses Acme Corp's GCP project credentials
Each org's admin creates their own GCP project with OAuth credentials. See /gws:configure for step-by-step GCP setup.
Notes
- If no credentials are provided, the tool returns setup instructions (or run /gws:configure)
- The first account added becomes the default
- The browser must be accessible for the OAuth flow
- Client secrets are stored in the OS keychain (macOS Keychain, GNOME Keyring), not in config files
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 · 44 lines · 27 tokens per session scan A 1cd6068d01e3
add-account is a skill published in the GitHub repository orieg/gws-connector (1 stars, last pushed yesterday), licensed MIT. It adds 27 tokens to every session and 524 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
domscribe
Work with Domscribe — the pixel-to-code bridge. Use when setting up, initializing, or configuring Domscribe for a project, OR when editing or modifying UI components (React, Vue, Next.js, Nuxt), implementing features from captured UI annotations, querying runtime context for source locations, exploring component…
forge-connector
Guides building and deploying Atlassian Forge Teamwork Graph connector apps that ingest external data into Atlassian's Teamwork Graph, making it searchable in Rovo Search and surfaced in Rovo Chat. Use when the user wants to build a Forge connector, ingest external data into Atlassian, connect a third-party tool (e.g.…
forge-cost-optimizer
Optimizes Atlassian Forge apps to reduce platform consumption and avoid unnecessary costs using Atlassian's "Optimise Forge platform costs" guidance. Use when the user asks to optimize Forge app costs, reduce Forge invocations, lower GB-seconds, reduce storage or log usage, tune memory, replace polling, improve…
forge-app-review
Performs a lightweight pre-release readiness review of Atlassian Forge apps across manifest/module wiring, architecture, runtime compatibility, dependency posture, tests, deploy readiness, and obvious security, cost, or reliability smells. Use when the user asks "review my Forge app", "pre-deploy check", "is this app…
logic-review
Find logic bugs in a single file or function via semi-formal execution tracing (Premises → Trace → Divergence → Trigger → Remedy). Trigger when a user shares code and suspects something is wrong without naming a concrete failure — phrases like "review this", "does this look right", "check this function", "audit this…
logic-health
Sweep a directory, module, or full codebase for logic correctness and produce a scored health dashboard with systemic patterns. Trigger when the user requests a health view — "audit the whole codebase", "health check", "health overview", "logic health overview", "audit src/", "audit auth and payments modules", "where…