foundry_settlement

foundry_settlement is a skill for Claude Code, Codex from ic-star-tech/ccfoundry-agent-kit. It costs 15 tokens per session (453 once invoked), scanned A, original, MIT.

A tool for recording and checking payments for completed Foundry tasks. Foundry is the system that verifies tasks and records settlements.

In plain words
What is it for?
Checking settlement status, viewing earnings history, and inspecting payment metadata such as Stripe references.
Why use it?
It provides a record of task payments, payment-provider references, and the chain of records connecting a task to its settlement.

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/ic-star-tech/ccfoundry-agent-kit/foundry_settlement
Any agent
npx skills add ic-star-tech/ccfoundry-agent-kit --skill foundry_settlement
Clone the repo
git clone --depth 1 https://github.com/ic-star-tech/ccfoundry-agent-kit

Made for: Claude Code, Codex.

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 foundry_settlement

README.md
[![agentmods](https://agentmods.dev/badge/skills/ic-star-tech/ccfoundry-agent-kit/foundry_settlement.svg)](https://agentmods.dev/skills/ic-star-tech/ccfoundry-agent-kit/foundry_settlement)
Your own site
<a href="https://agentmods.dev/skills/ic-star-tech/ccfoundry-agent-kit/foundry_settlement"><img src="https://agentmods.dev/badge/skills/ic-star-tech/ccfoundry-agent-kit/foundry_settlement.svg" alt="Measured on agentmods" height="20"></a>
Per session 15 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 453 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 $0.00015 $0.00453
Opus 5 $0.00008 $0.00227
Sonnet 5 $0.00003 $0.00091
Haiku 4.5 $0.00002 $0.00045

Measured 4d ago against content hash dfce949dd126, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

foundry_settlement 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.

examples/verilog_module_writer/agent_space/skills/foundry_settlement/SKILL.md · 71 lines

What it actually says

Foundry Settlement Skill

Trigger

Use when work is completed and the agent needs to inspect settlement status, payment metadata, or earnings history.

Capabilities

  • Inspect settlement records for completed tasks
  • Preserve Stripe-related references when present in host-provided records
  • Query settlement history and earnings
  • Track mandate chain metadata from intent to settlement

Settlement Flow

1. Agent completes task (e.g., RRA testbench passes)
2. Foundry host verifies task completion according to its own policy
3. Foundry host records a Settlement Mandate
4. Host-side payment processing may attach payment-provider metadata
5. Agent receives settlement notification

API

Settlement Record Shape

{
  "task_ref": "task:<id>",
  "amount": 0.75,
  "currency": "USD",
  "provider_refs": {
    "stripe": "opaque-provider-reference"
  }
}

Query Earnings

GET {DEV_BOARD_API}/api/agents/{agent_name}/earnings

Returns: {"agent": "...", "total_earned": 0.75, "currency": "USD", "settlements": [...]}

Mandate Chain

Settlement records may reference a mandate chain for audit trail:

  1. IntentMandate - task or requirement intent
  2. CartMandate - accepted work or pricing context
  3. SettlementMandate - verified settlement record

Payment Provider Metadata

Settlement records can include provider references such as Stripe IDs. Treat those fields as opaque metadata from the host-side payment system.

Environment Variables

  • FOUNDRY_BASE_URL: Foundry server URL

Best Practices

  • Always verify task completion before trusting settlement status
  • Use low-value test work while developing settlement flows
  • Handle duplicate settlement notifications idempotently
  • Confirm real payment state in the payment provider dashboard outside the agent kit
Files

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.

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. 4d ago First seen · 71 lines · 15 tokens per session scan A dfce949dd126

Subscribe to this mod's changes

foundry_settlement is a skill published in the GitHub repository ic-star-tech/ccfoundry-agent-kit (24 stars, last pushed 2mo ago), licensed MIT. It adds 15 tokens to every session and 453 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.

Related

Other skills, from other repositories

convex-add

Add a capability to the CURRENT Convex app — consults the served Convex capability catalog for always-current procedures (billing, crons, auth, agent, search, …); falls back to built-in hosting or @convex-dev component search. TRIGGER when the user runs /add, or asks to add hosting/publishing or any backend capability…

openclaw/clawhub · 81 tokens

twitter-reader

Read Twitter/X for financial research using opencli (read-only). Use this skill whenever the user wants to read their Twitter feed, search for financial tweets, view bookmarks, look up user profiles, or gather market sentiment from Twitter/X. Triggers include: "check my feed", "search Twitter for", "show my…

himself65/finance-skills · 161 tokens

chenhao-limit-up

Use when evaluating A-share limit-up (涨停板) setups through Chen Hao's sentiment and momentum lens: market emotion cycles, board strength, follow-through, and short-term aggressive momentum trading.

questflowai/investorskills · 44 tokens

trading-risk-gate

Unified pre-trade safety gate: Ruin check (Law #1), ergodicity audit, and win-rate dominance validation. Absorbs: ergodicity-check, law-of-ruin, win-rate-dominance.

winstonkoh87/Athena-Public · 53 tokens

cwv-optimizer

Diagnose and fix Core Web Vitals issues on AEM Edge Delivery Services pages. Goes deeper than generic CWV advice by understanding EDS-specific performance patterns including the 100KB LCP budget, E-L-D loading phases, block rendering behavior, and third-party script impact. Produces specific fixes for LCP, CLS, and…

adobe/skills · 112 tokens

multi-expert-analyzer

针对通用问题进行多领域专家联合分析, 综合稿产生前必经 fact-checker 与 red-team 两道独立校验。适用场景: 用户提出跨领域或不确定领域的复杂问题, 需要从多个专家角度分别搜证并相互校验后综合成文, 例如该不该买房、该不该跳槽、是否进入某个赛道等。触发关键词: 多角度分析、专家分析、综合分析、多视角、跨领域分析、从不同角度看、深度分析。问题只属于单一明确领域时, 优先使用该领域的专门 skill, 例如纯财务用 finance-core-analysis、纯技术用 software-architect。输出 (全部 markdown 保存到当前项目 markdown/ 目录): (1) 每位专家的中间分析稿…

digoal/blog · 292 tokens