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 danicat/skills --skill show-me-the-moneygit clone --depth 1 https://github.com/danicat/skillsWrote 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/danicat/skills/show-me-the-money)<a href="https://agentmods.dev/skills/danicat/skills/show-me-the-money"><img src="https://agentmods.dev/badge/skills/danicat/skills/show-me-the-money/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/danicat/skills/show-me-the-money"><img src="https://agentmods.dev/badge/skills/danicat/skills/show-me-the-money.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.00090 | $0.01386 |
| Opus 5.5 | $0.00036 | $0.00554 |
| Sonnet 5.5 | $0.00018 | $0.00277 |
| Haiku 4.5 | $0.00009 | $0.00139 |
Grade A, and why
show-me-the-money 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 today.
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 — 121 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Backlog finder
Find features from past sessions that never shipped, without burning frontier quota. Scan all sessions in the current project by default using a Map-Reduce flow:
- Map: Run one fast
agyFlash worker per session. Each worker lists every feature discussed asIMPLEMENTEDorNOT IMPLEMENTED. - Reduce: Compare all worker reports by date against
git logto find the latest snapshot of open work.
1. Select scope
Query $HOME/.gemini/antigravity/conversation_summaries.db with sqlite3 to list root sessions where parent_conversation_id = ''. Always skip the active session.
- Single-project sweep by default: Scan all sessions for the current workspace across all time, ordered from oldest to newest.
WORKSPACE_PATH=$(pwd)
sqlite3 -json "$HOME/.gemini/antigravity/conversation_summaries.db" "
SELECT
conversation_id,
title,
workspace_uris,
step_count,
datetime(last_modified_time) AS last_active
FROM conversation_summaries
WHERE parent_conversation_id = ''
AND killed = 0
AND step_count > 4
AND workspace_uris LIKE '%file://${WORKSPACE_PATH}\"%'
ORDER BY last_modified_time ASC;
"
- Optional time sweep: Wait for the user to ask for a time window across all projects. Then swap the
workspace_urisfilter forAND last_modified_time >= datetime('now', '-N days').
2. Map: one agy Flash worker per session
Check your agent tier in the system prompt. When running on a frontier tier such as Gemini 4 Argon or Pro:
- Never read raw
transcript.jsonlfiles in the main session. - Never call
invoke_subagentfor transcript mining. Subagents inherit your frontier tier and burn high-cost quota. - Always spawn one headless
agyCLI worker per session pinned to a fast Flash tier such asflash-liteorflash-low.
Select the fastest Flash tier from agy models:
FLASH_MODEL=$(agy models | awk '/flash-lite|flash.*low/ {print $1; exit}')
Read only the chat turns and git commits. Skip tool logs, ask_question prompts, system notes, and scratch files.
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.
- today First seen · 121 lines · 90 tokens per session scan A 32aee27f14ea
show-me-the-money is a skill published in the GitHub repository danicat/skills (20 stars, last pushed today), licensed Apache-2.0. It adds 90 tokens to every session and 1,386 once invoked, about $0.0004 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 2026-10-21.
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Ratchet source file size so every file stays small enough for an agent to read whole: find every file over a token budget, split oversized files by concept, and set up the pre-commit ratchet that stops them from growing. Use when a commit is blocked because a file is over the size budget, when asked to find or split…
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