Retrieve-First Gate Agent Skill

Before any explanation or answer, require the learner to produce a free-recall attempt and confidence rating.

Context cost
3.8k tokensestimated from the bundle, loaded when it triggers
Bundle
1 file · 15.3 kBtext throughout, nothing executable
Licence
not declarednone named by its author
Last change
—v1.0
Servers it uses
Noneruns standalone

What it does

Before any explanation or answer, require the learner to produce a free-recall attempt and confidence rating. Use when a student wants help understanding or reviewing a topic — this skill ensures the AI works from what the learner already knows.

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.

documentationgatememorymetacognitionretrievaltesting-effect

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.md15.3 kB · preview
--- # AGENT SKILLS STANDARD FIELDS (v2) name: retrieve-first-gate disable-model-invocation: false user-invocable: true effort: medium # DOMAIN 20 FIELDS skill_id: "student-learning/retrieve-first-gate" skill_name: "Retrieve-First Gate" domain: "student-learning" domain_number: 20 version: "1.0" audience: "student" evidence_strength: "strong" evidence_sources: - "Roediger & Karpicke (2006) — Test-enhanced learning: taking memory tests improves long-term retention" - "Dunlosky et al. (2013) — Improving students' learning with effective learning techniques: practice testing rated high utility" - "Bjork & Bjork (2011) — Making things hard on yourself, but in a good way: desirable difficulties" - "Karpicke & Roediger (2008) — The critical importance of retrieval for learning" - "Rowland (2014) — The effect of testing versus restudy on retention: a meta-analysis (d = 0.50)" input_schema: required: - field: "topic" type: "string" - field: "context" type: "string" optional: - field: "prior_sessions" type: "array" - field: "developmental_band" type: "string" evidence_captured: cognitive_gate: "retrieval" student_attempt_required: true confidence_before: true confidence_after: true hint_level_reached: "not_applicable" error_type: "conceptual | procedural | not_applicable" ai_support_type: "question | warm_start" reflection_captured: true transfer_check: "not_applicable" unassisted_followup: "not_scheduled" assistance_tag: "scaffolded" chains_well_with: - "student-learning/explain-first-interrogator" - "student-learning/confidence-calibration-check" - "student-learning/transfer-bridge" - "student-learning/unassisted-evidence-checkpoint" tags: ["retrieval", "memory", "metacognition", "gate", "testing-effect"] ---
59# Retrieve-First Gate
60
61## What This Skill Does
62
63Before providing any explanation, summary, or answer, requires the learner to produce a free-recall attempt on the topic along with a confidence rating (0–100). The AI then evaluates which parts of the recall are accurate, which are missing, and which contain misconceptions — and structures its help around that specific gap map rather than starting from scratch. This transforms every help-seeking interaction into a retrieval practice session. The act of attempting recall, even imperfectly, strengthens memory traces and makes subsequent explanations more effective (Roediger & Karpicke, 2006).
64
65## Evidence Foundation
66
67The testing effect is one of the most robust findings in cognitive psychology. Roediger & Karpicke (2006) demonstrated in two experiments that students who took tests on material they'd read significantly outperformed students who re-read the same material — even when the re-reading students had more total study time. The mechanism is that the act of retrieval itself modifies and strengthens the memory trace in a way that passive re-exposure does not. Karpicke & Roediger (2008) extended this to show that the benefit persists over a week's delay. Rowland's (2014) meta-analysis of 159 studies found a mean effect size of d = 0.50 for testing versus restudy. Dunlosky et al. (2013), in their landmark review of ten learning techniques, rated practice testing as one of only two "high utility" strategies — noting its consistency across age groups, material types, and delay intervals. Bjork & Bjork (2011) explain the mechanism via desirable difficulties: retrieval is harder than re-reading, and that difficulty is what makes it effective. The retrieve-first pattern operationalises this by making recall the mandatory first step of every AI-assisted study session.
68
69## System Prompt
70
71```
72You are a learning coach, not a teacher or answer machine. Your role is to help {{name_or_"the learner"}} build genuine understanding of {{topic}} — not to provide information they could look up. The governing principle of this session: no substantive explanation until the learner has made a genuine recall attempt.
73
74CONTEXT: {{context}}
75TOPIC: {{topic}}
76DEVELOPMENTAL BAND: {{developmental_band — if not provided, assume secondary school / undergraduate}}
77PRIOR SESSIONS: {{prior_sessions — if not provided, treat this as a first session on this topic}}
This is a preview of SKILL.md. Download or install the skill to get the whole thing.
In the file
SKILL.md2,294 words
Files1
Licencenot declared
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.

≈600
always loaded
The name and description, so the model knows the skill exists and when to reach for it.
3,225
on trigger
The instruction body, read only when the skill fires.
1.9%
of a 200k window
Ten skills this size would take about 19% of the window before you open a file.
050k100k150k200k context window

3.8k tokens, estimated from the bundle at four bytes to the token, held for the rest of the session once it triggers. Middling. Fine to keep on in a project where you use it weekly, worth unloading in one where you never do.

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

1 file, 15.3 kB on disk. A bundle is text throughout: the instructions the model reads, plus the templates it fills in.

  • SKILL.md15.3 kB
What is not in it

No dependencies and nothing executable: a skill is text the agent reads, so the bundle is 1 file you can review in full before installing.

Install

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

# Retrieve-First Gate · 3.8k tokens when loaded · macOS, Linux mkdir -p .claude/skills && t=$(mktemp -d) && curl -fsSL -o "$t/bundle.tar.gz" https://mcprush.com/api/skills/retrieve-first-gate/bundle.tar.gz && tar -xzf "$t/bundle.tar.gz" -C "$t" && [ -d "$t/retrieve-first-gate" ] && { [ ! -e .claude/skills/retrieve-first-gate ] || { mv .claude/skills/retrieve-first-gate "$t/.previous" && echo "Previous copy moved to $t/.previous"; }; } && mv "$t/retrieve-first-gate" .claude/skills/ && echo "Installed .claude/skills/retrieve-first-gate"
On Windows, or any OS with Node 20+
npx mcprush@latest skill add garethmanning/retrieve-first-gate

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/retrieve-first-gate/ 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/retrieve-first-gate/bundle.tar.gz && tar -xzf "$t/bundle.tar.gz" -C "$t" && [ -d "$t/retrieve-first-gate" ] && { [ ! -e ~/.claude/skills/retrieve-first-gate ] || { mv ~/.claude/skills/retrieve-first-gate "$t/.previous" && echo "Previous copy moved to $t/.previous"; }; } && mv "$t/retrieve-first-gate" ~/.claude/skills/ && echo "Installed ~/.claude/skills/retrieve-first-gate" (macOS, Linux) — or add --global to the npx line. The curl line replaces .claude/skills/retrieve-first-gate/ 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
Version1.0
Publishedno release date on file
PriceFree
Referencegarethmanning/retrieve-first-gate

Versions

v1.0 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.

v1.0
  • 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 — v1.0 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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