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share-savings

share-savings is a skill for Claude Code, Codex from understudylabs/understudy-agent-tools. It costs 69 tokens per session (814 once invoked), scanned A, original, MIT.

A workflow for reporting measured reductions in AI-service spending to Understudy as an anonymous, metrics-only submission.

In plain words
What is it for?
Use it to prepare a redacted savings payload from approved evidence, review the exact data and destination, and submit only after explicit approval.
Why use it?
It prevents prompts, responses, traces, repository details, and personal information from being uploaded with the savings report.

Skill for Claude CodeCodex

Written for Claude Code and Codex: shipped in a Claude Code plugin, but also agents/openai.yaml present.

Part of the understudy plugin — 43 skills, 1 command shipped together

not rated 16 4d ago A scan 69 tokens original MIT
View the source file understudylabs/understudy-agent-tools
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/understudylabs/understudy-agent-tools/share-savings
Any agent
npx skills add understudylabs/understudy-agent-tools --skill share-savings
Clone the repo
git clone --depth 1 https://github.com/understudylabs/understudy-agent-tools

Made for: Claude Code, Codex.

Or install understudy, the plugin that ships this one along with the rest of its 43 skills, 1 command.

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 share-savings

README.md
[![agentmods](https://agentmods.dev/badge/skills/understudylabs/understudy-agent-tools/share-savings.svg)](https://agentmods.dev/skills/understudylabs/understudy-agent-tools/share-savings)
Your own site
<a href="https://agentmods.dev/skills/understudylabs/understudy-agent-tools/share-savings"><img src="https://agentmods.dev/badge/skills/understudylabs/understudy-agent-tools/share-savings.svg" alt="Measured on agentmods" height="20"></a>
Per session 69 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 814 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00069 $0.00814
Opus 5 $0.00034 $0.00407
Sonnet 5 $0.00014 $0.00163
Haiku 4.5 $0.00007 $0.00081

Measured 6d ago against content hash fe5e0efadda2, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

share-savings 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 6d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/share-savings.mjs), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

skills/share-savings/SKILL.md · 100 lines

How it starts

The opening of the file, as written. The whole thing — 100 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Share Savings

Turn a measured Understudy savings result into an anonymous, metrics-only report for Understudy. This is for the lower-Anthropic-bill path and future leaderboard receipts.

Safety Gates

  • Do not upload prompts, completions, traces, repo names, company names, emails, domains, contact details, source paths, or private notes.
  • Do not post without showing the exact JSON payload and API URL, then getting explicit user approval for that submission.
  • Prefer .understudy/value/value-report.json with claim_status: claim-supported. If the report says claim-packet-required, call it a scenario lead, not proven savings, and ask before submitting.
  • Send only bounded metrics: monthly baseline/candidate/savings, savings percent, request volume, generic providers/models, intervention labels, evidence level, claim status, optional claim hash, and holdout/sample metadata.
  • The leaderboard is coming soon. Do not promise ranking, publication, or placement from a submission.

Flow

  1. Locate the report:

    test -f .understudy/value/value-report.json && echo .understudy/value/value-report.json

    If missing, create one with the value-report workflow before sharing:

    understudy value report --workload-card <path> --route-decision <path> --requests-per-month <n>

  2. Build a dry-run payload. Add intervention labels that match the real fix:

    node skills/share-savings/scripts/share-savings.mjs \
  --from .understudy/value/value-report.json \
  --intervention prompt-cache \
  --intervention sonnet-gepa \
  --dry-run

    Useful intervention labels: prompt-cache, batch, max-tokens, retry-reduction, sonnet-gepa, haiku, openai-route, open-weight-fireworks, local-open-weight.

  3. If there is a claim packet, include only its hash:

    node skills/share-savings/scripts/share-savings.mjs \
  --from .understudy/value/value-report.json \
  --claim .understudy/experiments/<id>/claim.json \
  --intervention open-weight-fireworks \
  --dry-run

Read the full file on GitHub · 100 lines

Files

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.

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. 6d ago First seen · 100 lines · 69 tokens per session scan A fe5e0efadda2

Subscribe to this mod's changes

share-savings is a skill published in the GitHub repository understudylabs/understudy-agent-tools (16 stars, last pushed 4d ago), licensed MIT. It adds 69 tokens to every session and 814 once invoked, about $0.0003 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.

Analytics and metricsFinance and fintech
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