executive-financial-briefing

executive-financial-briefing is a skill for Claude Code, Codex from awslabs/agentcore-samples. It costs 95 tokens per session (1,010 once invoked), scanned A, original, Apache-2.0.

A one-page financial summary for business leaders covering a recent quarter’s profit-and-loss results, key measures, trends, and suggested actions.

In plain words
What is it for?
Use it for executive summaries, board updates, financial overviews, business-health checks, and quarterly comparisons.
Why use it?
It turns business figures into a compact view of financial performance that can be used for leadership or board discussions.

Skill for Claude CodeCodex ✓ vendor

Written for no agent in particular: nothing here depends on one.

Good fit Use it for executive summaries, board updates, financial overviews, business-health checks, and quarterly comparisons.

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Install with agentmods
npx agentmods add skills/awslabs/agentcore-samples/executive-financial-briefing
About the project

Amazon Bedrock AgentCore Samples is a collection of examples and tutorials for deploying and operating AI agents with Amazon Bedrock AgentCore. Developers use it to integrate agent applications built with different frameworks and language models while learning AgentCore features. The catalogue add-ons provide agent-oriented guidance for working with these samples and services.

awslabs/agentcore-samples · 3,338 stars · on GitHub · aws.amazon.com

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.

Any agent
npx skills add awslabs/agentcore-samples --skill executive-financial-briefing
Clone the repo
git clone --depth 1 https://github.com/awslabs/agentcore-samples

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 executive-financial-briefing

README.md
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<a href="https://agentmods.dev/skills/awslabs/agentcore-samples/executive-financial-briefing"><img src="https://agentmods.dev/badge/skills/awslabs/agentcore-samples/executive-financial-briefing.svg" alt="Measured on agentmods" height="20"></a>
Per session 95 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,010 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00095 $0.01010
Opus 5 $0.00048 $0.00505
Sonnet 5 $0.00019 $0.00202
Haiku 4.5 $0.00010 $0.00101

Measured 8d ago against content hash 09af3ff666ac, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

executive-financial-briefing 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 8d 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.

01-features/07-centralize-and-govern-your-ai-infrastructure/03-registry/03-advanced/strands-mcp-ecs-registry/my_skills/executive-financial-briefing/SKILL.md · 105 lines

How it starts

The opening of the file, as written. The whole thing — 105 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Executive Financial Briefing

Produces a one-page executive financial briefing covering the most recent quarter's performance, key KPIs, notable trends, and 3 action items.

Prerequisites

No inputs required. Uses the most recent quarter (Q3 2025) as the primary period, with Q2 2025 as the comparison.

Steps

Step 1: Gather all data in parallel

Fetch current and prior quarter P&L:

get_financial_data(period="Q3 2025")
get_financial_data(period="Q2 2025")
get_kpi_benchmarks()

Step 2: Compute the full KPI dashboard

Use python_exec to calculate all KPIs for both quarters:

# Q3 2025
r3 = 4200000; c3 = 1890000; o3 = 1050000; e3 = 1260000
# Q2 2025
r2 = 3800000; c2 = 1710000; o2 = 980000;  e2 = 1110000

# KPIs
gm3   = round((r3 - c3) / r3 * 100, 1)
em3   = round(e3 / r3 * 100, 1)
op3   = round(o3 / r3 * 100, 1)
qoq3  = round((r3 - r2) / r2 * 100, 1)

gm2   = round((r2 - c2) / r2 * 100, 1)
em2   = round(e2 / r2 * 100, 1)
op2   = round(o2 / r2 * 100, 1)

def status(val, benchmark, higher_better=True):
    diff = val - benchmark
    if higher_better:
        if diff >= 0:    return "GREEN"
        if diff >= -5:   return "YELLOW"
        return "RED"
    else:
        if diff <= 0:    return "GREEN"
        if diff <= 5:    return "YELLOW"
        return "RED"

print("=== Q3 2025 EXECUTIVE DASHBOARD ===")
print(f"Revenue:          ${r3:,.0f}  (QoQ: {qoq3:+.1f}%)")
print(f"EBITDA:           ${e3:,.0f}  (margin: {em3}%)  [{status(em3,15)}]")
print(f"Gross Margin:     {gm3}%  (benchmark: 40%)  [{status(gm3,40)}]")
print(f"OpEx Ratio:       {op3}%  (benchmark: 30%)  [{status(op3,30,False)}]")
print(f"\nQoQ Changes:")
print(f"  Revenue:        {qoq3:+.1f}%")
print(f"  Gross Margin:   {gm3-gm2:+.1f}pp")
print(f"  EBITDA Margin:  {em3-em2:+.1f}pp")
print(f"  OpEx Ratio:     {op3-op2:+.1f}pp")

Step 3: Compose the briefing

Write a structured executive briefing with exactly these sections:

FINANCIAL BRIEFING — Q3 2025 Prepared by Financial Analyst Agent | [today's date]

Read the full file on GitHub · 105 lines

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. 8d ago First seen · 105 lines · 95 tokens per session scan A 09af3ff666ac

Subscribe to this mod's changes

executive-financial-briefing is a skill published in the GitHub repository awslabs/agentcore-samples (3,338 stars, last pushed 2d ago), licensed Apache-2.0. It adds 95 tokens to every session and 1,010 once invoked, about $0.0005 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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