Scientific Feedback Agent Skill

Use only when the current deliverable is holistic, prioritized, multi-lens critique of audience-facing scientific communication or…

Context cost
8.5k tokensestimated from the bundle, loaded when it triggers
Bundle
12 files · 33.9 kBtext throughout, nothing executable
Licence
MITthe author’s own terms
Last change
—v0.1.0
Servers it uses
Noneruns standalone

What it does

Use only when the current deliverable is holistic, prioritized, multi-lens critique of audience-facing scientific communication or governance in a manuscript, talk, poster, grant, study proposal, research pitch, collaborator update, or lab-policy document. Reassess every turn; do not invoke or retain this skill because an earlier turn involved scientific feedback.

What this skill changes about the agent has not been set out here as a list. Its SKILL.md, shown below, says it in the author’s own words.

documentation

The skill itself

A skill is instructions the model reads, so you can see what you are getting: below is the start of its SKILL.md. The front matter loads with every session, the body loads when the skill triggers, and the whole file comes with the install.

SKILL.md9.1 kB · preview
--- name: scientific-feedback license: MIT metadata: author: jjfroehlich version: "0.1.0" ---
10# Scientific Feedback
11
12## Purpose
13
14Give integrated, prioritized feedback on audience-facing scientific communication by routing through the right domain lenses and returning one coherent revision path.
15
16## Use this skill when
17
18- The user asks to review, critique, sanity-check, or give feedback on an audience-facing scientific communication or governance artifact.
19- The requested judgment genuinely spans at least two lenses: claims and writing, evidence and figures, study design and audience readiness, funding and feasibility, or lab policy and power-aware communication.
20- The user wants reviewer-style, mentor-style, collaborator-style, committee-style, or quick-scan feedback.
21- Multiple specialist perspectives may matter: writing, communication, figures, publishing, grants, literature synthesis, project strategy, or lab culture.
22
23## Do not use this skill when
24
25- The request is a single narrow production task, such as "rewrite this paragraph," "choose this chart," "draft a cover letter," or "format this slide."
26- The user asks only for literature search, citation formatting, code debugging, statistical analysis, or institutional/legal/clinical determinations.
27- Do not load this skill provisionally for code, scripts, notebooks, analysis outputs, computational or statistical workflows, data pipelines, model choices, technical plans or specifications, requirements documents, requirements-to-code traceability, run diagnostics, or technical documentation. This remains true when the work is scientific, when planning documents are present, and when the user asks for structured or prioritized critique.
28- The artifact should clearly be handled by one domain lens without integration.
This is a preview of SKILL.md. Download or install the skill to get the whole thing.
In the file
SKILL.md1,184 words
Files12
LicenceMIT
Why you can read it

Nothing in a skill executes. The client loads the text and the model follows it, so a skill can be audited the way a runbook is — by reading it.

What it costs in context

Skills are not billed by the call. They are paid for in context: every token the instructions occupy is a token your code, your diff and your conversation cannot use. Here is what this one takes and when it takes it.

≈280
always loaded
The name and description, so the model knows the skill exists and when to reach for it.
8,195
on trigger
The instruction body and 11 supporting files, read only when the skill fires.
4.2%
of a 200k window
Ten skills this size would take about 42% of the window before you open a file.
050k100k150k200k context window

8.5k tokens, estimated from the bundle at four bytes to the token, held for the rest of the session once it triggers. Heavy. Teams tend to install this one per project rather than globally, and load it only when the job comes up.

Servers bill, skills cost

A server charges by the month. A skill charges once per session, in context, and then keeps charging it for as long as the session lives.

Before and after

The same question, put to the same model twice: once as it comes, and once with these instructions loaded.

No worked example has been published for this skill yet.

The procedure it runs

The procedure has not been set out here step by step. It is in the body of its SKILL.md: the start of it is shown above, and the whole file comes with the install.

Prose, not code

These steps are written for a model to follow, not executed by a runtime. It can still be told to skip one, and it will say so when it does.

Servers it uses

None. This skill calls no MCP servers at all.

Everything it needs is in the instructions, so it works in a project with nothing connected — the model reads the file and changes how it works with what it can already reach.

Its SKILL.md does not declare which tools it asks the agent for, so what it touches is whatever the instructions themselves ask for — read them before you install it.

What it asks for
Writes filesnot declared
Network accessnot declared

This SKILL.md carries no allowed-tools line, so neither is declared. A skill grants no permissions of its own — it can only ask for tools your client already has.

What it will not do

Every skill is narrow, and the useful ones say where they stop. These are the jobs this one is the wrong tool for.

What this skill is not for has not been published here. Nothing is implied by that: it is a section the author has not filled in.

What is in the bundle

12 files, 33.9 kB on disk. A bundle is text throughout: the instructions the model reads, plus the templates it fills in.

  • SKILL.md9.1 kB
  • checklists/feedback-report-checklist.md1.3 kB
  • checklists/manuscript-feedback-checklist.md1.3 kB
  • checklists/poster-feedback-checklist.md1.0 kB
  • checklists/slide-feedback-checklist.md1.0 kB
  • examples/manuscript-feedback-report.md1.2 kB
  • examples/poster-feedback-report.md1.1 kB
  • examples/slide-feedback-report.md1.0 kB
  • references/artifact-routing.md6.5 kB
  • references/feedback-principles.md3.3 kB
  • references/review-modes.md3.5 kB
  • references/tone-and-relationship.md3.6 kB
What is not in it

No dependencies and nothing executable: a skill is text the agent reads, so the bundle is 12 files you can review in full before installing. The MIT licence covers the templates and examples as well as the instructions.

Install

Installing copies the bundle into your project. Nothing runs at install time — the files sit on disk until the model reads them.

# Scientific Feedback · 8.5k tokens when loaded · macOS, Linux mkdir -p .claude/skills && t=$(mktemp -d) && curl -fsSL -o "$t/bundle.tar.gz" https://mcprush.com/api/skills/scientific-feedback/bundle.tar.gz && tar -xzf "$t/bundle.tar.gz" -C "$t" && [ -d "$t/scientific-feedback" ] && { [ ! -e .claude/skills/scientific-feedback ] || { mv .claude/skills/scientific-feedback "$t/.previous" && echo "Previous copy moved to $t/.previous"; }; } && mv "$t/scientific-feedback" .claude/skills/ && echo "Installed .claude/skills/scientific-feedback"
On Windows, or any OS with Node 20+
npx mcprush@latest skill add jjfroehlich/scientific-feedback

Windows PowerShell says 'running scripts is disabled on this system'? Run Set-ExecutionPolicy -Scope CurrentUser RemoteSigned once, or type npx.cmd instead of npx (codex.cmd, gemini.cmd, grok.cmd likewise). PowerShell 7 needs neither. Writes to .claude/skills/scientific-feedback/ in the current project. For every project instead, run mkdir -p ~/.claude/skills && t=$(mktemp -d) && curl -fsSL -o "$t/bundle.tar.gz" https://mcprush.com/api/skills/scientific-feedback/bundle.tar.gz && tar -xzf "$t/bundle.tar.gz" -C "$t" && [ -d "$t/scientific-feedback" ] && { [ ! -e ~/.claude/skills/scientific-feedback ] || { mv ~/.claude/skills/scientific-feedback "$t/.previous" && echo "Previous copy moved to $t/.previous"; }; } && mv "$t/scientific-feedback" ~/.claude/skills/ && echo "Installed ~/.claude/skills/scientific-feedback" (macOS, Linux) — or add --global to the npx line. The curl line replaces .claude/skills/scientific-feedback/ only after the download succeeds, so files left there by another skill of the same name, or by an older release, do not mix in. A copy already there is moved aside, not deleted, and the line prints where.

Which clients pick it up on their own

A skill is a folder of text. Most of these read a skills folder and pick it up without being told; the rest take the same folder another way — an upload in the app, a parameter on an API call — and then choose it by its description just the same.

Claude Code.claude/skills/
Claude DesktopCustomize › Skills
ChatGPTSkills › Create › Upload
Cursor.cursor/skills/
VS Code.github/skills/
Codex CLI.agents/skills/
Gemini CLI.gemini/skills/
Grok Build.grok/skills/
Microsoft CopilotSkills › Upload a skill
PerplexityComputer › Skills › Upload a skill
DeepSeek Harness.dsh/skills/
Zed.agents/skills/
Devin Desktop.devin/skills/
Windsurf (legacy).windsurf/skills/
OpenAI Agents SDKInstructions or sandbox Skills
HTTP / APIa request parameter
This release
Version0.1.0
Publishedno release date on file
PriceFree
Referencejjfroehlich/scientific-feedback

Versions

v0.1.0 is what is on the shelf; no release here carries a date. Instructions change more often than APIs do — a skill can be rewritten entirely without anything it depends on moving.

v0.1.0
  • No earlier releases have been published to the marketplace.
Pinning

The install command always fetches the release that is current the day you run it — v0.1.0 today — and cannot ask for an earlier one. The copy on your disk does not change until you run it again.

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