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 agentmods add skills/kastalien-research/thoughtbox/ulc-loopnpx skills add Kastalien-Research/thoughtbox --skill ulc-loopgit clone --depth 1 https://github.com/Kastalien-Research/thoughtboxWrote 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/kastalien-research/thoughtbox/ulc-loop)<a href="https://agentmods.dev/skills/kastalien-research/thoughtbox/ulc-loop"><img src="https://agentmods.dev/badge/skills/kastalien-research/thoughtbox/ulc-loop.svg" alt="Measured on agentmods" height="20"></a>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 | $0.00035 | $0.00788 |
| Opus 5 | $0.00017 | $0.00394 |
| Sonnet 5 | $0.00007 | $0.00158 |
| Haiku 4.5 | $0.00003 | $0.00079 |
Grade A, and why
ulc-loop 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 4d 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.
How it starts
The opening of the file, as written. The whole thing — 113 lines — stays where its author put it; the contents beside it link to each section on GitHub.
ULC Loop
Start an autonomous improvement loop powered by Ralph Wiggum.
Setup
Parse arguments from: $ARGUMENTS
Defaults:
--budget: 5 (USD)--max-iterations: 20
Workflow
Step 1: Pre-flight Checks
-
Verify Ralph Wiggum plugin is installed:
ls .Codex/plugins/cache/Codex-plugins/ralph-wiggum/ 2>/dev/null || echo "NOT INSTALLED"If not installed, tell the user to run:
Codex plugin install ralph-wiggum@Codex-plugins -
Check for existing Ralph loop:
cat .Codex/ralph-loop.local.md 2>/dev/null && echo "ACTIVE" || echo "INACTIVE"If ACTIVE, warn: "A Ralph loop is already running. Run
/cancel-ralphfirst." -
Check git state is clean:
git status --porcelainIf dirty, warn and suggest committing first.
Step 2: Read the ULC Prompt
Read the ULC decision procedure from .Codex/skills/ulc-loop/ulc-prompt.md.
Step 3: Initialize ULC State
Create the initial ULC state file if it doesn't exist:
cat > .Codex/ulc-state.local.json << 'EOF'
{
"iteration": 0,
"cumulative_cost_usd": 0,
"budget_usd": <BUDGET>,
"actions": [],
"exploration_misses": 0,
"started_at": "<ISO timestamp>"
}
EOF
Replace <BUDGET> with the parsed budget value.
Step 4: Create Ralph State File
Write .Codex/ralph-loop.local.md with YAML frontmatter and the ULC prompt as the body:
---
active: true
iteration: 1
max_iterations: <MAX_ITERATIONS>
completion_promise: "BUDGET EXHAUSTED OR ALL WORK COMPLETE"
started_at: "<ISO timestamp>"
---
<contents of ulc-prompt.md>
Step 5: Confirm and Start
Output:
ULC Loop activated via Ralph Wiggum.
Budget: $<budget> USD
Max iterations: <max_iterations>
Completion promise: "BUDGET EXHAUSTED OR ALL WORK COMPLETE"
The loop will:
1. Check backlog for ready work
2. Dispatch sub-agents for substantial tasks
3. Explore via QD when backlog is empty
4. Stop when budget is exhausted or all work is complete
State file: .Codex/ulc-state.local.json
Ralph state: .Codex/ralph-loop.local.md
Starting first OODA cycle...
What ships with it
1 file 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.
- 4d ago First seen · 113 lines · 35 tokens per session scan A 6a8325b765b9
ulc-loop is a skill published in the GitHub repository Kastalien-Research/thoughtbox (64 stars, last pushed 1mo ago), licensed MIT. It adds 35 tokens to every session and 788 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.
Other skills, from other repositories
report-issue
File a bug or feature request against this repository (cyanheads/git-mcp-server) using the gh CLI. Use for tool logic bugs, git provider misbehavior, transport issues, auth/config problems, or new feature proposals.
approval-workflows
Configure ServiceNow approval rules and sysapprovalapprover records — manager/group/script approvers, multi-level routing, delegation via sysuserdelegate, and parent-record state rollup.
change-management
Create and transition ServiceNow change requests (normal/standard/emergency), change tasks, affected CIs, approval routing, CAB scheduling, and conflict detection across maintenance windows.
hr-service-delivery
Build ServiceNow HR Service Delivery — snhrcorecase from Employee Center or HR catalog, snhrlelifecycleevent onboarding/offboarding with templated activities, and HR document generation.
incident-management
Manage ServiceNow incidents — creation with impact/urgency priority calc, auto-assignment by category, reassignment tracking, major incident declaration with bridge calls, time-based escalation, MTTR metrics.
problem-management
Manage ServiceNow problems — create from linked incidents, proactive pattern detection, RCA with 5-Whys, knownerror workarounds (KEDB), KEDB search by CI/category/keywords, and permanent-fix linkage to changes.