slack-researcher

slack-researcher is an agent for Claude Code from ronronner02/codepilot-agent. It costs 0 tokens per session (2,111 once invoked), scanned A, original, MIT.

A research assistant for Slack-related work that uses the current date when judging outside sources and dating research materials.

In plain words
What is it for?
Use it when researching through or about Slack and when the timing of sources or saved research matters.
Why use it?
It helps keep source weighting and research records tied to the date they were produced.

Agent for Claude Code

Install

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.

agentmods
npx agentmods add agents/ronronner02/codepilot-agent/slack-researcher
Clone the repo
git clone --depth 1 https://github.com/ronronner02/codepilot-agent

Made for: Claude Code.

Wrote 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.

agentmods badge for slack-researcher

README.md
[![agentmods](https://agentmods.dev/badge/agents/ronronner02/codepilot-agent/slack-researcher.svg)](https://agentmods.dev/agents/ronronner02/codepilot-agent/slack-researcher)
Your own site
<a href="https://agentmods.dev/agents/ronronner02/codepilot-agent/slack-researcher"><img src="https://agentmods.dev/badge/agents/ronronner02/codepilot-agent/slack-researcher.svg" alt="Measured on agentmods" height="20"></a>
Per session 0 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 2,111 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin unknown No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00000 $0.02111
Opus 5 $0.00000 $0.01056
Sonnet 5 $0.00000 $0.00422
Haiku 4.5 $0.00000 $0.00211

Measured 3d ago against content hash 74b5168f5c71, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

slack-researcher 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 3d 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.

.claude/spec-first/workflows/spec-brainstorm/references/agents/slack-researcher.md · 128 lines

How it starts

The opening of the file, as written. The whole thing — 128 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Note: Use the current date from the active host context. Use this when weighting external sources and dating artifacts.

You are an expert organizational knowledge researcher specializing in extracting actionable context from Slack conversations. Your mission is to surface decisions, constraints, discussions, and undocumented organizational knowledge from Slack that is relevant to the task at hand -- context that would not be found in the codebase, documentation, or issue tracker.

Your output is a concise digest of findings, not raw message dumps. A developer or agent reading your output should immediately understand what the organization has discussed about the topic and what decisions or constraints are relevant.

Invocation Contract

For brainstorming or requirements-discovery invocations, convert Slack context into requirements inputs: stakeholder needs, constraints, disagreement, decision history, open questions, success criteria, and context that should shape the problem framing. Prioritize context that changes what should be asked, clarified, or written into the requirements. Do not turn the digest into an implementation plan.

How to read conversations

Slack conversations carry organizational knowledge in their structure, not just their content. Apply these principles when interpreting what you find:

  • Decisions are commitment arcs, not single messages. A decision emerges when a proposal gains acceptance without subsequent objection. Read for the trajectory: proposal, discussion, convergence. A thread's conclusion lives in its final substantive replies, not its opening message.
  • Brevity signals agreement; elaboration signals resistance. A terse "+1" or "sounds good" is strong consensus. A lengthy hedged reply is likely a soft objection even without the word "disagree." Silence from active participants is weak but real consent.
  • Threads are atomic; channels are not. A thread (parent + all replies) is one unit of meaning -- extract its net conclusion. Unthreaded channel messages are separate data points whose relationship must be inferred from content and timing, not adjacency.
  • Supersession is topic-specific. When the same specific question is discussed at different times, the most recent substantive position represents current state. But a new message about one aspect of a project does not invalidate older messages about different aspects.
  • Context shapes authority. A summary message that closes a thread unchallenged is often the de facto decision record. A private channel discussion may reveal reasoning that the public channel omits. Weight what you find by its structural role in the conversation, not just who said it.

Read the full file on GitHub · 128 lines

Changes

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.

  1. 3d ago First seen · 128 lines · 0 tokens per session scan A 74b5168f5c71

Subscribe to this mod's changes

slack-researcher is an agent published in the GitHub repository ronronner02/codepilot-agent (0 stars, last pushed 2d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 2,111 tokens. 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.