codify-jumbo-goal

A closing step for an approved Jumbo goal, a tracked piece of work, that updates the project’s architecture notes and records new lessons.

In plain words
What is it for?
Use it after QA approval to update outdated architecture records and document what the work changed.
Why use it?
It prevents the goal from being marked complete while the code, tracked project details, and documentation still disagree.

Skill for Claude CodeCodex

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.

agentmods
npx agentmods add skills/jumbocontext/cli/codify-jumbo-goal
Any agent
npx skills add jumbocontext/cli --skill codify-jumbo-goal
Clone the repo
git clone --depth 1 https://github.com/jumbocontext/cli

Made for: Claude Code, Codex.

Per session 43 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,005 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin unknown 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 $0.00043 $0.01005
Opus 5 $0.00022 $0.00502
Sonnet 5 $0.00009 $0.00201
Haiku 4.5 $0.00004 $0.00101

Measured 2d ago against content hash cf29fa09c914, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

codify-jumbo-goal 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 2d 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.

assets/skills/codify-jumbo-goal/SKILL.md · 111 lines

The source is not reproduced here

Licensed AGPL-3.0

The repository is licensed AGPL-3.0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.

Read it on GitHub

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. 2d ago First seen · 111 lines · 43 tokens per session scan A cf29fa09c914

Subscribe to this mod's changes

codify-jumbo-goal is a skill published in the GitHub repository jumbocontext/cli (269 stars, last pushed 7d ago), licensed AGPL-3.0. It adds 43 tokens to every session and 1,005 once invoked, about $0.0002 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.

Related

Other skills, from other repositories

video

Use when a brief has to become a film. Turns a one line ask into a Claude Design prompt written in the animations-v3 engine's own language, plus the built piece.jsx and a contact sheet to look at before anyone renders. Covers reference roles, the kit, the storyboard gate, the motion floor, and the verification…

ohad6k/emulo · 84 tokens

deja-search

Search the user's past AI coding sessions with the deja CLI. Use when they say things like 'didn't we fix this before', 'what did we decide about X', or before re-debugging an error that may already be solved.

vshulcz/deja-vu · 51 tokens

plur-session-end

Extract durable learnings at the end of a session. Saves corrections, preferences, and codebase patterns as engrams — nothing ephemeral, nothing sensitive.

plur-ai/plur · 35 tokens

emulo

Use when the user explicitly asks to run, set up, update, re-mine, or deepen Emulo from real local AI coding-session history and native emulo:mine is not available. This is the cross-agent skills.sh bootstrap, not the native namespaced plugin.

ohad6k/emulo · 58 tokens

mnemo-cortex

Installs and wires Mnemo Cortex (local-first persistent memory) into OpenClaw and other MCP-capable agents. Use for cross-session recall, decision history, or multi-agent shared memory.

GuyMannDude/mnemo-cortex · 44 tokens

init

Install or update OwnMem in the current repository. Use when the user asks to set up OwnMem, add local project memory for coding agents, or refresh an existing OwnMem installation after a version bump.

grpcer/ownmem · 43 tokens