Claude-Mind: Skill for Claude Code

.claude/skills/curriculum-gates/SKILL.md

curriculum-gates is a skill for Claude Code from zkysar1/Claude-Mind. It costs 101 tokens per session (3,426 once invoked), scanned A, original, MIT.

An automation tool that checks whether an AI agent has met the requirements for its current learning or development stage. When every configured check passes, it moves the agent to the next stage.

In plain words
What is it for?
Use it to evaluate stage gates at the end of sessions or evolution cycles and record successful promotions.
Why use it?
It replaces manual checking of progress metrics, counts, logs, and command results with a defined set of graduation checks. This prevents promotion when required conditions have not been met.

Skill for Claude Code

Written for Claude Code: user-invocable in frontmatter.

This is zkysar1/Claude-Mind's own configuration. It tells Claude Code how to work on Claude-Mind itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything Claude-Mind configures →

Needs its repository: it runs a file that does not travel with it, so clone the repository first. The line is echo '{"date":"<today>","event":"curriculum_promotion","details":"Promoted from {from_stage} ({from_name}) to {to_stage} ({to_name}) -- guard-33 confirmed {late.

Reuse

Borrowing it

Nothing to install: this file belongs to zkysar1/Claude-Mind. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/zkysar1/Claude-Mind/main/.claude/skills/curriculum-gates/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/zkysar1/Claude-Mind

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 curriculum-gates

README.md
[![agentmods](https://agentmods.dev/badge/skills/zkysar1/claude-mind/curriculum-gates/github.svg)](https://agentmods.dev/skills/zkysar1/claude-mind/curriculum-gates)
Your own site
<a href="https://agentmods.dev/skills/zkysar1/claude-mind/curriculum-gates"><img src="https://agentmods.dev/badge/skills/zkysar1/claude-mind/curriculum-gates/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 curriculum-gates

Your own site · 80×15
<a href="https://agentmods.dev/skills/zkysar1/claude-mind/curriculum-gates"><img src="https://agentmods.dev/badge/skills/zkysar1/claude-mind/curriculum-gates.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 101 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,426 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 $0.00101 $0.03426
Opus 5 $0.00051 $0.01713
Sonnet 5 $0.00020 $0.00685
Haiku 4.5 $0.00010 $0.00343

Measured 10d ago against content hash d31d99b71305, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

curriculum-gates 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 10d 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.

.claude/skills/curriculum-gates/SKILL.md · 244 lines

How it starts

The opening of the file, as written. The whole thing — 244 lines — stays where its author put it; the contents beside it link to each section on GitHub.

/curriculum-gates — Curriculum Gate Evaluation & Promotion

Evaluates all graduation gates for the agent's current curriculum stage. If all gates pass, promotes the agent to the next stage and logs the promotion. Called by /aspirations-consolidate (session end) and /aspirations-evolve (evolution cycle).

Step 0: Load ConventionsBash: load-conventions.sh with each name from the conventions: front matter. Read only the paths returned (files not yet in context). If output is empty, all conventions already loaded — proceed to next step.

Step 1: Evaluate Gates

Bash: curriculum-evaluate.sh → parse JSON output

IF configured == false:
    Bash: echo "Curriculum: Not configured — skipping gate evaluation."
    RETURN

IF terminal_stage == true:
    Bash: echo "Curriculum: At terminal stage — all capabilities unlocked."
    RETURN

Output: "Curriculum gate evaluation for stage: {stage_name}"
For each gate in gates:
    Output: "  {gate.id}: {PASS/FAIL} (current: {current_value}, required: {operator} {threshold})"
Output: "Gates passed: {gates_passed_count}/{gates_total}"

Step 2: Promote If Ready — guard-33 Autonomous Self-Escalation Chokepoint

A curriculum promotion is a capability-unlock self-escalation: it unlocks gated capabilities (self-edits, forge-skill, parallelism) and can REVERSE a prior resolved self.md decision (e.g. "no bidding before Stage 1"). guard-33 forbids the agent self-authorizing such an action. The assistant-mode path (/respond Step 5.0) already routes user-directed escalations through the email round-trip; this is the autonomous-origin counterpart so guard-33 holds regardless of origin. Protocol: world/conventions/self-escalation-confirmation.md.

Autonomous mode MUST NOT block on user input (no-blocking-in-RUNNING-state), so the pattern is register + DEFER, never register-and-wait. The promotion is gated behind a confirmed pending-escalation record and applied on a LATER curriculum-gates run, once the user's YES has been parsed by the domain inbox-poll skill (see world/conventions/self-escalation-confirmation.md). The escalation store IS the state machine (awaiting_reply -> confirmed | denied | timed_out) --- there is no marker file; agents/<agent>/session/pending-escalations.yaml is the single source of truth.

Read the full file on GitHub · 244 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. 10d ago First seen · 244 lines · 101 tokens per session scan A d31d99b71305

Subscribe to this mod's changes

curriculum-gates is a skill published in the GitHub repository zkysar1/Claude-Mind (5 stars, last pushed 2d ago), licensed MIT. It adds 101 tokens to every session and 3,426 once invoked, about $0.0005 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 2026-08-31.

Related

Other skills, from other repositories

interview-prep

Technical interview preparation expert for algorithms, system design, and behavioral questions.

ginkida/rustyhand · 18 tokens

hive.browser-automation

Required before any hive-browser CLI command. The browser is driven from the terminal by running hive-browser ... --json via terminalexec — not via MCP tools. Teaches the browser lifecycle rules (the bridge attaches to the USER'S running Chrome — never kill or launch browser processes; timeouts are transport issues…

aden-hive/hive · 142 tokens

hive.worker-delegation

Concrete patterns for breaking colony work into parallel worker jobs via runplaybook — when fan-out helps, how to model the goal as a tracker table, write the worker skill, author the playbook, pilot, and let convergence retry/resume the gap.

aden-hive/hive · 58 tokens

hive.linkedin-automation

Read before automating LinkedIn with browser tools. LinkedIn combines shadow DOM (#interop-outlet), strict Trusted Types CSP that silently drops innerHTML, Lexical composer, native beforeunload dialogs that hang the bridge, and aggressive spam filters — each has bitten us at least once. Verified flows for profile…

aden-hive/hive · 99 tokens

hive.slack-notifications-setup

Set up a Slack notification channel (Sentinel) for a colony by driving the browser — reuse or create the "Hive Sentinel" Slack app from a JSON manifest, install it, capture the bot + app tokens, create/select the channel via the Slack API, and turn Sentinel on so the colony can ping the user on Slack and accept…

aden-hive/hive · 136 tokens

hive.pdf

Read, write, merge, split, rotate, watermark, encrypt, and OCR PDF files using Python (pypdf, pdfplumber, reportlab, pypdfium2) and command-line tools (poppler-utils, qpdf). Use when the user asks to extract text/tables/images from a PDF, create or modify a PDF, combine or split PDFs, OCR a scanned PDF…

aden-hive/hive · 98 tokens