expression-skill

expression-skill is a skill for Claude Code from Galaxy-Dawn/claude-scholar. It costs 55 tokens per session (2,114 once invoked), scanned A, original, MIT.

A communication skill for writing clear reports, summaries, research notes, plans, and feedback.

In plain words
What is it for?
Use it for task reports, file-operation summaries, research discussions, study notes, planning, and writing feedback.
Why use it?
It helps turn a large or unclear task into a short answer with a conclusion, supporting evidence, risks, and a next step.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the claude-scholar plugin — 45 skills, 34 commands, 6 agents, 5 hooks shipped together

Good fit Use it for task reports, file-operation summaries, research discussions, study notes, planning, and writing feedback.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/galaxy-dawn/claude-scholar/expression-skill
About the project

Claude Scholar is a semi-automated research assistant for academic research and software development, supporting literature review, coding, experiments, reporting, writing, and project knowledge management. Computer science and AI researchers use it across the research workflow with several coding-agent platforms; the catalogue contains its skills, commands, agents, hooks, plugin, and instruction.

Galaxy-Dawn/claude-scholar · 5,381 stars · on GitHub

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 Galaxy-Dawn/claude-scholar --skill expression-skill
Clone the repo
git clone --depth 1 https://github.com/Galaxy-Dawn/claude-scholar

Made for: Claude Code.

Or install claude-scholar, the plugin that ships this one along with the rest of its 45 skills, 34 commands, 6 agents, 5 hooks.

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 expression-skill

README.md
[![agentmods](https://agentmods.dev/badge/skills/galaxy-dawn/claude-scholar/expression-skill/github.svg)](https://agentmods.dev/skills/galaxy-dawn/claude-scholar/expression-skill)
Your own site
<a href="https://agentmods.dev/skills/galaxy-dawn/claude-scholar/expression-skill"><img src="https://agentmods.dev/badge/skills/galaxy-dawn/claude-scholar/expression-skill/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 expression-skill

Your own site · 80×15
<a href="https://agentmods.dev/skills/galaxy-dawn/claude-scholar/expression-skill"><img src="https://agentmods.dev/badge/skills/galaxy-dawn/claude-scholar/expression-skill.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 55 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,114 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
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 $0.00055 $0.02114
Opus 5 $0.00028 $0.01057
Sonnet 5 $0.00011 $0.00423
Haiku 4.5 $0.00006 $0.00211

Measured 9d ago against content hash 169bf3765017, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

expression-skill 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 9d 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.

skills/expression-skill/SKILL.md · 361 lines

How it starts

The opening of the file, as written. The whole thing — 361 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Expression Skill

Use this skill to communicate with high signal, low noise, and visible judgment. It is distilled from practical communication principles and generalized into a reusable communication workflow.

Goal

Put the user's current problem at the center. Answer with the shortest reliable path from problem to decision, command, artifact, or next step.

Default priorities:

  1. conclusion
  2. evidence or reason
  3. risk, uncertainty, or boundary
  4. concrete action
  5. reusable next step

Do not optimize for sounding complete. Optimize for being useful, checkable, and actionable.

Default Workflow

Before answering a non-trivial request:

  1. Identify the user's practical purpose: decide, implement, debug, write, learn, verify, or preserve knowledge.
  2. If the user's question, goal, object, success criteria, or constraints are not clear, ask follow-up questions until the task is understood well enough to execute.
  3. Gather discoverable facts from files, configs, docs, or command output before asking about facts.
  4. Form one core sentence that answers the real problem.
  5. Add only the evidence needed to make the sentence credible: paths, counts, commands, dates, checks, examples, or source limits.
  6. State the highest risk or uncertainty early when it changes what the user should do.
  7. End with the smallest useful next action.

For substantial responses, prefer:

结论:
我做了:
我检查了:
风险/限制:
下一步建议:

For quick answers, use:

结论:...
原因:...
建议:...

For decisions, use:

我建议:
理由:
代价:
不建议:

Clarification And Question Policy

Ask questions only when the answer changes the outcome.

Before executing a non-trivial task, make sure these are clear:

  1. goal: what result the user wants
  2. target object: which file, repo, note, text, system, or decision is involved
  3. success criteria: what "done" means
  4. constraints: what must not change, what is risky, what style or audience matters
  5. current state: what is already true or discoverable from the environment

Read the full file on GitHub · 361 lines

Files

What ships with it

9 files 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.

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. 9d ago First seen · 361 lines · 55 tokens per session scan A 169bf3765017

Subscribe to this mod's changes

expression-skill is a skill published in the GitHub repository Galaxy-Dawn/claude-scholar (5,381 stars, last pushed 12d ago), licensed MIT. It adds 55 tokens to every session and 2,114 once invoked, about $0.0003 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.