individual-program-design

individual-program-design is a skill for Claude Code from iBrain-BVBA/gutt-claude-code-plugin. It costs 143 tokens per session (2,557 once invoked), scanned A, original, MIT.

A saved personal development plan with goals, milestones, check-ins, and unanswered questions. It is stored so a later session can continue without starting over.

In plain words
What is it for?
Use it to turn someone's growth goals into a reusable program record. It helps mentors or onboarding guides save a plan that future sessions can retrieve.
Why use it?
It prevents plans from disappearing when a conversation ends and avoids making the person repeat their goals. It also keeps the plan separate from an organisation's shared records.

Skill for Claude Code

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

Part of the gutt-mentor plugin — 4 skills shipped together

Good fit Use it to turn someone's growth goals into a reusable program record. It helps mentors or onboarding guides save a plan that future sessions can retrieve.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/ibrain-bvba/gutt-claude-code-plugin/individual-program-design
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 iBrain-BVBA/gutt-claude-code-plugin --skill individual-program-design
Clone the repo
git clone --depth 1 https://github.com/iBrain-BVBA/gutt-claude-code-plugin

Made for: Claude Code.

Or install gutt-mentor, the plugin that ships this one along with the rest of its 4 skills.

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 individual-program-design

README.md
[![agentmods](https://agentmods.dev/badge/skills/ibrain-bvba/gutt-claude-code-plugin/individual-program-design/github.svg)](https://agentmods.dev/skills/ibrain-bvba/gutt-claude-code-plugin/individual-program-design)
Your own site
<a href="https://agentmods.dev/skills/ibrain-bvba/gutt-claude-code-plugin/individual-program-design"><img src="https://agentmods.dev/badge/skills/ibrain-bvba/gutt-claude-code-plugin/individual-program-design/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 individual-program-design

Your own site · 80×15
<a href="https://agentmods.dev/skills/ibrain-bvba/gutt-claude-code-plugin/individual-program-design"><img src="https://agentmods.dev/badge/skills/ibrain-bvba/gutt-claude-code-plugin/individual-program-design.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 143 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,557 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.
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 $0.00143 $0.02557
Opus 5.5 $0.00057 $0.01023
Sonnet 5.5 $0.00029 $0.00511
Haiku 4.5 $0.00014 $0.00256

Measured 1mo ago against content hash aba6bc58246d, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

individual-program-design 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 1mo 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.

gutt-mentor/skills/individual-program-design/SKILL.md · 192 lines

How it starts

The opening of the file, as written. The whole thing — 192 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Individual Program Design

Turn a person's stated goals into a program that survives the session: goals, milestones, a check-in cadence, and the questions still open — written once to their personal memory scope so any later session can reconstruct it without asking them to explain themselves again. Domain-neutral: this shapes the container, never the subject matter.

progress-tracking is the other half — it reads this record back and writes the check-ins against it. Underneath, memory-capture owns write discipline (classify, dedup, size caps, write-tool discovery, queued≠persisted), memory-search owns query phrasing and the relevance gate, and agent-memory-protocol owns identity for when an agent runs this. Those ship with the gutt-pro plugin; without it, follow the rules below and note the gap in one line.

Hard rules (non-negotiable — read first)

  1. Personal scope, written with add_personal_memory. That tool takes no group_id at all — the namespace is derived server-side from the login and authorized on every call. Without an OAuth login carrying a stable user id the call is denied, not downgraded. Never write a person's program to an org group instead; hand the draft back (see Degradation). Because the namespace comes from the login, it is the authenticated user's own scope — there is no way to write into someone else's. This skill serves whoever is running it, for themselves; run on someone else's behalf it would file their program under your name, so say that rather than doing it.
  2. No agent identity in personal scope. Do not pass agent_id on a personal read or write. Registration and tagging happen in org scope only, and that is agent-memory-protocol's business.
  3. Privacy runs both ways. Never copy personal-scope content into an org-scope write or into an org-memory query string. And every org-scope read issued while program content is in context must pass explicit group_ids naming only org groups: omit it and the user's personal scope is already in the default search scope, so private notes leak into what may become a shared briefing. An org write carries nothing personal and passes last_n_episodes=0 (memory-capture).
  4. The goals are the user's. Elicit them; never infer a program and write it. Read the filled-in skeleton back and get an explicit yes first. No confirmation → it stays a draft, and you say so.
  5. One self-contained program episode, last_n_episodes=0. The program is the root of the thread and has nothing to chain to, and the server default of 3 would fold unrelated recent personal episodes into extraction. Use the naming and skeleton below, and do not invent a new typed name prefix — the five (Insight: through WorkingAgreement:) belong to org captures in memory-capture.
  6. Never hardcode a tool prefix. The mcp__…__ prefix varies per install, so call add_personal_memory, get_episodes, etc. by whatever name your tool list actually surfaces — and never assume a write tool's name.

Read the full file on GitHub · 192 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. 1mo ago Changed aba6bc58246d
  2. 1mo ago First seen · 192 lines · 143 tokens per session scan A 7e2b724de73b

Subscribe to this mod's changes

individual-program-design is a skill published in the GitHub repository iBrain-BVBA/gutt-claude-code-plugin (5 stars, last pushed 1mo ago), licensed MIT. It adds 143 tokens to every session and 2,557 once invoked, about $0.0006 per session on Opus 5.5. 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

mem0-oss-to-platform

Plan, then execute, a migration of a project from the mem0 open-source / self-hosted SDK (local Memory class) to the mem0 Platform / hosted SDK (MemoryClient). TRIGGER when: the developer wants to move, switch, or migrate mem0 off OSS/self-hosted to the hosted API, e.g. "migrate my mem0 setup to the platform", "switch…

mem0ai/mem0 · 217 tokens

forget

Remove a personal fact, preference, relationship detail, topic, or prior event from Muse's active memory and stop existing copies or automations from bringing it back. Use for explicit requests such as 'forget that', 'don't remember this about me', or 'remove that from your memory'. Do not use when 'forget it' merely…

asgeirtj/system_prompts_leaks · 74 tokens

Cortex

Operate Cortex, the LifeOS memory system — the typed Knowledge Archive (People, Companies, Ideas, Research with typed related: links) plus recall of prior work sessions, ISAs, and conversations. Search, add, harvest, develop, ingest, distill, graph-navigate, recall. USE WHEN cortex, knowledge, knowledge base, search…

danielmiessler/LifeOS · 196 tokens

memory

Use when the user asks to remember, recall, forget, update, search, or inspect durable OpenSquilla memory, including profile facts in USER.md and long-term notes in MEMORY.md or memory//.md.

opensquilla/opensquilla · 44 tokens

ha-data-stores

Map of Hope Agent's local data stores and safe read-only query workflow. Use when the user asks where Hope Agent stores data, wants to inspect sessions/messages/memory/logs/background jobs/knowledge indexes/settings, asks the model to query local app data, or debugging requires checking persisted state. Trigger…

shiwenwen/hope-agent · 115 tokens

establishing-project-context

Use when the user asks to establish shared project language, or project work exposes a conflicting, renamed, or deprecated domain term that needs active semantic modeling. Routine small tasks stay on the fast path.

GanyuanRan/Aegis · 45 tokens