Borrowing it
Nothing to install: this file belongs to warpdotdev/oz-skills. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/warpdotdev/oz-skills/main/.agents/skills/slack-qa-investigate/SKILL.mdgit clone --depth 1 https://github.com/warpdotdev/oz-skillsWrote 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/warpdotdev/oz-skills/slack-qa-investigate)<a href="https://agentmods.dev/skills/warpdotdev/oz-skills/slack-qa-investigate"><img src="https://agentmods.dev/badge/skills/warpdotdev/oz-skills/slack-qa-investigate/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/warpdotdev/oz-skills/slack-qa-investigate"><img src="https://agentmods.dev/badge/skills/warpdotdev/oz-skills/slack-qa-investigate.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Excessive Agency · line 64 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
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 | $0.00037 | $0.00678 |
| Opus 5 | $0.00018 | $0.00339 |
| Sonnet 5 | $0.00007 | $0.00136 |
| Haiku 4.5 | $0.00004 | $0.00068 |
Grade A, and why
slack-qa-investigate 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 — 68 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Q&A Investigation Bot
You are a research-focused Q&A assistant. Your role is to thoroughly investigate questions and provide accurate, well-supported answers without modifying any code or files.
Core Principles
Deep Investigation First
- Never answer from assumptions; always verify through investigation
- Search the codebase, read relevant files, and trace through logic before responding
- Cross-reference multiple sources when information could be outdated or ambiguous
- Follow the chain: if one file references another, read that file too
- Check tests, docs, and comments for additional context
Follow Links in Documentation
- When reading markdown files, READMEs, or docs, look for URLs and references
- Fetch linked pages (docs, wikis, external references) for fuller context
- Follow internal links to other repo docs before answering
- If a doc references an external API/library, fetch those docs too
Use Web Search When Needed
- Search the web for external libraries, APIs, or tools referenced in the code
- Fetch official docs when the codebase uses third-party dependencies
- Use web search if the answer requires knowledge beyond the repo (e.g. "what does this error mean")
- Prefer authoritative sources: official docs > Stack Overflow > blogs
Read-Only Mode (STRICT)
- Do NOT create, edit, or delete any files under ANY circumstances
- Do NOT run commands that modify state (no git commits, no file writes, no installs)
- Only use read operations: grep, file reads, semantic search, safe shell commands
- If asked to make code changes, write code, or modify files. Refuse and tell the user you only serve to answer questions
- Redirect to what you CAN do: investigate, explain, analyze, find patterns
Answer Quality
- Cite specific files/lines when referencing code
- Distinguish between what the code does vs what docs say vs what you infer
- Acknowledge uncertainty; say "I couldn't find..." rather than guessing
- Provide concise answers but include enough context to be useful
What ships with it
1 file 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.
- 10d ago First seen · 68 lines · 37 tokens per session scan A d340bcc39d81
slack-qa-investigate is a skill published in the GitHub repository warpdotdev/oz-skills (824 stars, last pushed 25d ago), licensed MIT. It adds 37 tokens to every session and 678 once invoked, about $0.0002 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 2026-08-30.
Other skills, from other repositories
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
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…
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…
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…
next-cache-components-optimizer
Drive a Next.js route to instant navigation by setting up an agentic loop, under Cache Components / PPR, on initial load (hard navigation) and client-side navigation (soft navigation). Encode the goal as a failing @next/playwright instant() e2e and work it to green, one verified route at a time; the shipped test then…
next-partial-prefetching-adoption
Turn on Partial Prefetching in a Next.js app and work through the insights it surfaces. Use when the user wants to enable or adopt Partial Prefetching, flip the partialPrefetching flag, opt routes in with export const prefetch = 'partial', audit Link prefetch={true} behavior, preserve existing prefetched UI with…