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 zackbart/connecta --skill overflowgit clone --depth 1 https://github.com/zackbart/connectaWrote 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/zackbart/connecta/overflow)<a href="https://agentmods.dev/skills/zackbart/connecta/overflow"><img src="https://agentmods.dev/badge/skills/zackbart/connecta/overflow/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/zackbart/connecta/overflow"><img src="https://agentmods.dev/badge/skills/zackbart/connecta/overflow.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 | $0.00001 | $0.00869 |
| Opus 5.5 | $0.00000 | $0.00348 |
| Sonnet 5.5 | $0.00000 | $0.00174 |
| Haiku 4.5 | $0.00000 | $0.00087 |
Grade A, and why
overflow 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 6d 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 — 77 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Money, units, and status
Overflow does not use one money unit, so read the unit per field:
- Fields named
…InCentsare cents: deposits and their line items and totals, refunds, chargebacks, and the authorize body. - Recurring-gift
amountis dollars: Overflow's create and update bodies say so, and its subscription reads carry the same field. - Contribution
amountstates no unit in Overflow's schema. Check one known gift before reporting totals. statusis per asset type. A gift is final atPAID_OUT(cash),CONFIRMED(manual cash, crypto),CONTRIBUTION_RECEIVEDorBILLED(stock), andCONTRIBUTION_RECEIVED(DAF).statusBucketfilters by Overflow's coarser PENDING / CONFIRMED / FAILED / CANCELED.- There is no funds endpoint. A gift reports its campaign and subcampaign;
fundIdandsubFundIdappear only in the payment-authorize body. - Poll for changes with
minimumUpdatedDate;minimumInitiatedDateis when the donor gave.
Reconcile a deposit
list_deposits → get_deposit_summary for totals → get_deposit for the
line items, whose referenceId names the contribution, refund, or
chargeback. Contributions also carry their depositId.
Donor data is sensitive
Giving history and donor contact details are personal data. Reduce inside
execute_code — aggregate, count, or keep ids — and return names, emails,
phones, or addresses only when the task needs them. Lists and contributions
already omit contact details; get_donor is the deliberate lookup.
Writes go through overflow_api_mutate
Every Overflow write moves money or changes a donor record, so none has a
named tool. Each is one approval-gated overflow_api_mutate call with
Overflow's documented body:
POST /contributionscharges a saved payment method. Itsamountstates no unit; confirm it against a known gift of the same donor before charging.POST /payments/authorizetakesamountInCentsand authorizes a new method (0only saves it).POST /contributions/{id}/initiate-refund(under $1,000 only).POST/PATCH/DELETE /subscriptions/{donorId}[/{subscriptionId}]creates, changes, or cancels a recurring gift. Itsamountis dollars, not cents: a $50.00 monthly gift isamount: 50. Cancel takes acancellationReasonbody.POST /donors,PATCH /donors/{id}.
What ships with it
5 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.
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.
- 6d ago First seen · 77 lines · 1 tokens per session scan A 7b0f916e6cc6
overflow is a skill published in the GitHub repository zackbart/connecta (0 stars, last pushed today), licensed MIT. It adds 1 tokens to every session and 869 once invoked, about $0.0000 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 2026-10-08.
Other skills, from other repositories
local-ai-agents
Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
next-cache-components-adoption
Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…
chat-pet-sprite-creation
Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.
cpu-profile-analysis
Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…
insight-error-page
Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…