SurfSense is an open-source desktop application that uses an AI agent to research, transform, and edit documents while keeping their index on the user's machine. It is intended for people working with documents they cannot upload, with a choice of local or remote models and no account required.
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 MODSetter/SurfSense --skill slack-summarygit clone --depth 1 https://github.com/MODSetter/SurfSenseWrote 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/modsetter/surfsense/slack-summary)<a href="https://agentmods.dev/skills/modsetter/surfsense/slack-summary"><img src="https://agentmods.dev/badge/skills/modsetter/surfsense/slack-summary/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/modsetter/surfsense/slack-summary"><img src="https://agentmods.dev/badge/skills/modsetter/surfsense/slack-summary.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00014 | $0.00239 |
| Opus 5.5 | $0.00006 | $0.00096 |
| Sonnet 5.5 | $0.00003 | $0.00048 |
| Haiku 4.5 | $0.00001 | $0.00024 |
Grade A, and why
slack-summary 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 1mo 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.
What it actually says
Slack summarization
When to use this skill
The user asks to summarize Slack ("what happened in #eng-platform this week", "what did Alice say about the launch", "catch me up on the design channel").
Required inputs
Confirm before searching:
- Which channel(s) or thread(s)? Don't guess if ambiguous.
- What time window? Default to the last 7 days when not specified, but say so.
Output shape
Produce three concise sections:
- Key decisions — explicit choices that were made, with the deciding message cited.
- Open questions — things asked but not answered, with the asking message cited.
- Action items —
@mentionwho owes what by when, only if explicitly stated. Don't invent assignees.
What not to do
- Never produce a chronological play-by-play of every message — distill.
- Never quote private messages without flagging them as such.
- If the channel was empty in the time window, say so — don't fabricate filler.
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.
- 1mo ago First seen · 26 lines · 14 tokens per session scan A 24f789d799f8
slack-summary is a skill published in the GitHub repository MODSetter/SurfSense (16,508 stars, last pushed today), licensed Apache-2.0. It adds 14 tokens to every session and 239 once invoked, about $0.0001 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 2026-08-30.
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