Gajae Code is an external coding-agent harness that works inside repositories or worktrees and guides an agent through planning, review, approval, and code changes. It is for developers who want to use an existing coding-plan subscription while controlling agent work from a terminal, phone, or bot. The catalogue entries provide extensions such as skills, agents, commands, plugins, and MCP integrations for the harness.
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.
npx skills add Yeachan-Heo/gajae-code --skill ultragoalgit clone --depth 1 https://github.com/Yeachan-Heo/gajae-codeWrote 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.
[](https://agentmods.dev/skills/yeachan-heo/gajae-code/ultragoal)<a href="https://agentmods.dev/skills/yeachan-heo/gajae-code/ultragoal"><img src="https://agentmods.dev/badge/skills/yeachan-heo/gajae-code/ultragoal/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.
<a href="https://agentmods.dev/skills/yeachan-heo/gajae-code/ultragoal"><img src="https://agentmods.dev/badge/skills/yeachan-heo/gajae-code/ultragoal.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Rogue Agent · line 3 Skill establishes unauthorized persistence across sessions via cron jobs, startup scripts, or state files. Session persistence allows an attacker to maintain access beyond the current interaction.Fix: Remove any persistence mechanisms (cron jobs, startup scripts, state files). Skills should not maintain state across sessions without explicit user consent.
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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00022 | $0.12645 |
| Opus 5 | $0.00011 | $0.06323 |
| Sonnet 5 | $0.00004 | $0.02529 |
| Haiku 4.5 | $0.00002 | $0.01264 |
Grade A, and why
ultragoal 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 yesterday.
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.
How it starts
The opening of the file, as written. The whole thing — 488 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Ultragoal Workflow
Use when the user asks for ultragoal, create-goals, complete-goals, durable multi-goal planning, or sequential execution over GJC goal mode.
Purpose
ultragoal turns a brief into repo-native durable artifacts and then drives execution through the unified goal tool as a UX bridge only. goals.json is the canonical source of goal identity and state; ledger.jsonl is the canonical proof stream for checkpoints, receipts, blockers, steering, and reviews. The inline goal tool and goal-mode-request create-bridge exist only to keep the agent's interactive loop focused on the current aggregate or story objective. Completion is verified purely from durable goals.json plus fresh ledger.jsonl receipts, never from inline goal state. The agent, not the CLI or hooks, calls goal({"op":"complete"}) or goal({"op":"drop"}) after durable run completion or cleanup; CLI commands and hooks never mutate goal state.
.gjc/_session-{sessionid}/ultragoal/brief.md.gjc/_session-{sessionid}/ultragoal/goals.json.gjc/_session-{sessionid}/ultragoal/ledger.jsonl(checkpoint and structured steering audit events)
Existing aggregate plans with the legacy enumerated objective are migrated to the stable pointer objective on read, persisted to goals.json, retained in gjcObjectiveAliases for already-active hidden goal reconciliation, and audited with an aggregate_objective_migrated ledger entry.
- Nudge budget setting — the per-story give-up budget
(
gjc.ultragoal.nudgeBudget, default 10, non-negative integer) is read through one shared resolver in this exact order (first valid value wins):- project
.gjc/config.yml - user
<agentDir>/config.yml(normally~/.gjc/agent/config.yml, honoringGJC_CODING_AGENT_DIR/PI_CODING_AGENT_DIR; XDG applies only to categorized data/state/cache subdirs, never the workflow config path) - built-in default
config.ymluses the nested (schema) form -gjc: { ultragoal: { nudgeBudget } }. Project configuration beats user configuration. The reportedsourceis the canonical path of the winning file, ordefault.config.ymlis the ONLY settings surface: the legacysettings.jsonfiles (project and config-root) are retired: the config-root~/.gjc/settings.jsonis migrated once into the default global agentconfig.ymland its source removed, while the project.gjc/settings.jsonis retained for non-workflow settings (only its workflow keys are migrated into project.gjc/config.ymland no longer read unless a migration target is absent - a migration that could not publish (e.g. a read-only.gjc) leaves the retained legacy value effective as the previously configured override until it can publish). Invalid optional settings files continue to the next layer or the default (tolerant).
- project
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- yesterday Changed · +22 lines dc1c4edb785a
- 10d ago First seen · 466 lines · 22 tokens per session scan A a68c2b6aabf5
ultragoal is a skill published in the GitHub repository Yeachan-Heo/gajae-code (2,752 stars, last pushed today), licensed MIT. It adds 22 tokens to every session and 12,645 once invoked, about $0.0001 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.
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