colleague-distillation

colleague-distillation is a skill for Claude Code from ZhixiangLuo/10xProductivity. It costs 104 tokens per session (2,155 once invoked), scanned A, original, MIT.

A tool-connected workflow that turns a coworker’s work knowledge, communication style, and decision habits into a reusable AI skill. It gathers information from workplace systems such as Slack, Jira, Confluence, and Notion.

In plain words
What is it for?
Use it to create a digital version of a coworker for repeated AI-assisted tasks, or to document their standards, review style, tone, and decision-making process.
Why use it?
It removes the need to manually copy and organize a colleague’s messages, documents, and working practices. The result can preserve both how the person works and how they communicate.

Skill for Claude Code

Written for Claude Code: installed under .claude/. Also seen: reads .claude/ paths; mentions Claude Code.

Good fit Use it to create a digital version of a coworker for repeated AI-assisted tasks, or to document their standards, review style, tone, and decision-making process.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/zhixiangluo/10xproductivity/colleague-distillation
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.

Any agent
npx skills add ZhixiangLuo/10xProductivity --skill colleague-distillation
Clone the repo
git clone --depth 1 https://github.com/ZhixiangLuo/10xProductivity

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 colleague-distillation

README.md
[![agentmods](https://agentmods.dev/badge/skills/zhixiangluo/10xproductivity/colleague-distillation/github.svg)](https://agentmods.dev/skills/zhixiangluo/10xproductivity/colleague-distillation)
Your own site
<a href="https://agentmods.dev/skills/zhixiangluo/10xproductivity/colleague-distillation"><img src="https://agentmods.dev/badge/skills/zhixiangluo/10xproductivity/colleague-distillation/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.

agentmods 80×15 button for colleague-distillation

Your own site · 80×15
<a href="https://agentmods.dev/skills/zhixiangluo/10xproductivity/colleague-distillation"><img src="https://agentmods.dev/badge/skills/zhixiangluo/10xproductivity/colleague-distillation.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 104 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,155 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 2 findings, 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 Agent Snooping · line 38
    Skill enumerates or reads other installed skills. Access to other skills' SKILL.md files or the skills directory reveals prompt instructions, capabilities, and secrets that should be invisible to peer skills.
    Fix: Remove all code or instructions that list or read other skills' files or directories. Skills should operate independently; cross-skill access is a privilege escalation.
  • medium Agent Snooping · line 39
    Skill enumerates or reads other installed skills. Access to other skills' SKILL.md files or the skills directory reveals prompt instructions, capabilities, and secrets that should be invisible to peer skills.
    Fix: Remove all code or instructions that list or read other skills' files or directories. Skills should operate independently; cross-skill access is a privilege escalation.
How audits are shown
Origin original 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 5.1 $0.00104 $0.02155
Opus 5 $0.00052 $0.01077
Sonnet 5 $0.00021 $0.00431
Haiku 4.5 $0.00010 $0.00215

Measured 13d ago against content hash 194f0a654404, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

colleague-distillation scanned grade A with 1 finding 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 13d 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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

4. **Credentials:** `source` or load **`$TENX_PRIVATE_DIR/.env`** (or project `.env`) before `curl` / scripts. Never commit secrets.
.claude/skills/colleague-distillation/SKILL.md · 191 lines

How it starts

The opening of the file, as written. The whole thing — 191 lines — stays where its author put it; the contents beside it link to each section on GitHub.

10xProductivity skill: This file is the Claude Code entry point for colleague distillation when working in this repo.

Colleague distillation (tool-backed)

Purpose

Produce a colleague skill: structured work knowledge (systems, standards, review style) plus persona (tone, decisions, interpersonal habits), using APIs and search already wired in tool_connections / 10xProductivity — not hand-pasted exports.

Output layout matches the open colleague-skill convention so results can coexist with that generator:

  • colleagues/{slug}/work.md
  • colleagues/{slug}/persona.md
  • colleagues/{slug}/meta.json
  • colleagues/{slug}/SKILL.md (merged invocable skill)

Optional: Clone colleague-skill for its prompts/work_analyzer.md, persona_analyzer.md, work_builder.md, persona_builder.md if you want identical extraction templates; this skill defines what to fetch and where to write.


Prerequisites

  1. Load the relevant 10xProductivity connection docs under tool_connections/ and any allowed private recipes under $TENX_PRIVATE_DIR/personal/.
  2. Load $TENX_PRIVATE_DIR/verified_connections.md — only call tools listed there (or documented in 10xProductivity/tool_connections/ / personal/).
  3. For Jira, use the verified Jira connection documentation and recipes in this repo.
  4. Credentials: source or load $TENX_PRIVATE_DIR/.env (or project .env) before curl / scripts. Never commit secrets.

Cursor vs Claude Code

Environment Where to put generated files How this skill is loaded
Cursor Repo root: colleagues/{slug}/ .cursor/skills/colleague-distillation/SKILL.md
Claude Code Same colleagues/{slug}/ under the active project .claude/skills/colleague-distillation/SKILL.md

Use the same slug and folder layout in both; only the skill install path differs.

Read the full file on GitHub · 191 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. 13d ago First seen · 191 lines · 104 tokens per session scan A 194f0a654404

Subscribe to this mod's changes

colleague-distillation is a skill published in the GitHub repository ZhixiangLuo/10xProductivity (474 stars, last pushed 2mo ago), licensed MIT. It adds 104 tokens to every session and 2,155 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.