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.
git clone --depth 1 https://github.com/ZhixiangLuo/10xProductivityWrote 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/commands/zhixiangluo/10xproductivity/enterprise-search)<a href="https://agentmods.dev/commands/zhixiangluo/10xproductivity/enterprise-search"><img src="https://agentmods.dev/badge/commands/zhixiangluo/10xproductivity/enterprise-search/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/commands/zhixiangluo/10xproductivity/enterprise-search"><img src="https://agentmods.dev/badge/commands/zhixiangluo/10xproductivity/enterprise-search.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 | $0.00000 | $0.00340 |
| Opus 5.5 | $0.00000 | $0.00136 |
| Sonnet 5.5 | $0.00000 | $0.00068 |
| Haiku 4.5 | $0.00000 | $0.00034 |
Grade A, and why
enterprise-search 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 2mo 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
Enterprise Search
Search institutional knowledge across every connected tool simultaneously.
One query → Slack + Confluence (always when connected) + any AI-synthesized search tools in verified_connections.md + Jira/Linear/Notion/GitHub when relevant → synthesized answer.
Steps
-
Check connection status:
ls verified_connections.md 2>/dev/null && grep -c "^##" verified_connections.md || echo "0" -
If 1+ tools connected: Read
verified_connections.md(your active tool index), then followworkflows/enterprise-search/enterprise-search.mdto search for: $ARGUMENTS -
If not connected / empty: Read
setup.md. It walks through connecting each tool you use — credentials, SSO, verification — your agent runs the whole flow. ~5 min per tool. Once set up, run this command again.
What this searches
| Tool | What it finds |
|---|---|
| Slack | Decisions, incident threads, "why did we do X" |
| Confluence | Runbooks, architecture docs, procedures |
| Jira | Tickets, bugs, epics, sprint history |
| Linear | Project issues and feature requests |
| Notion | Pages and databases |
| GitHub | Code, PRs, issues (code-related queries only) |
| Other | If verified_connections.md lists an AI assistant or multi-source knowledge search, follow that connection file in parallel — see the workflow. |
Only connected tools are searched. The workflow adapts to whatever is in verified_connections.md.
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.
- 2mo ago First seen · 34 lines · 0 tokens per session scan A 936cfd28145c
enterprise-search is a command published in the GitHub repository ZhixiangLuo/10xProductivity (485 stars, last pushed 3mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 340 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 2026-08-30.
enterprise-search compared with commands from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| enterprise-searchZhixiangLuo/10xProductivity | Command | 485 | 3mo ago | MIT | A | 0 | Claude Code |
| flow-nexus-user-toolsruvnet/ruflo | Command | 81k | yesterday | MIT | A | 14 | Claude Code |
| flow-nexus-authruvnet/ruflo | Command | 81k | yesterday | MIT | A | 11 | Claude Code |
| computerHmbown/Codewhale | Command | 41k | 1mo ago | MIT | A | 10 | Claude Code |
| scout-meta-reviewRaven-Scout/Scout | Command | 20 | yesterday | MIT | A | 61 | Claude Code |
| scout-workRaven-Scout/Scout | Command | 20 | yesterday | MIT | A | 47 | Claude Code |
| cceVanyangyang/cursor-bridge | Command | 83 | 5d ago | MIT | A | 20 | Claude Code |