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fixed-income-portfolio

skill · anthropics/financial-services-pluginsApache-2.0 licenceAudited 31 Oct 2026 · source 1a9a359bc586

★ 40,938pushed 2 days ago
✓SAFEGrade B · 89/100 · 31 Oct 2026 · 1a9a359
40,938repo stars · whole anthropics/financial-services-plugins

Is it safe? Yes — SAFE, grade B (89/100). We read this skill's source at commit 1a9a359bc586 and found no filesystem, network or shell access and no hard-coded secrets. What it does: Review fixed income portfolios by pricing multiple bonds, retrieving reference data, analyzing cashflows, and running scenario analysis. Use when reviewing bond portfolios, computing portfolio duration and DV01,…

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Cite this page

ModelsAtlas. “fixed-income-portfolio (anthropics/financial-services-plugins)”. Retrieved 31 Oct 2026. https://modelsatlas.com/skills/anthropics/fixed-income-portfolio

Trust audit

Audit 0.4.1 · source read 31 Oct 2026

Trust score89/100✓SAFE B
0 critical0 high0 medium0 low0 info

SAFE means nothing in the source contradicts what the skill says it does. Grade B is shared by 16,667 of 17,602 audited skills.

What the source does

  • FilesystemNone observedNo reads or writes in the source
  • NetworkNone observedNo outbound calls in the source
  • ShellNone observedNo commands run in the source
  • DependenciesPinnedNothing floats
  • SecretsNone foundNo keys in source

Five audit layers

LayerWhat we checkResultFindings
L0 ProvenanceRepo owner, licence, archive status, activityPASS0
L1 Static sourceSecrets, path traversal, supply chain, hidden codeNA0
L2 InstructionsPrompt injection, authority framing, hidden directivesPASS0
L3 InventoryThe files and declarations match the sourcePASS0
L4 SandboxRun in isolation and watch behaviourSKIPPED why0

Gates applied: no behavioural pass.

Findings (0)

No findings at any severity. We re-audit when the source changes.

Audit 0.4.1 · source sha 1a9a359bc586 · 31 Oct 2026Report an issue or request a re-scan

Provenance

Who published it, and what the verdict is pinned to

What it tells the agent

Full source on GitHub ↗

Its description: Review fixed income portfolios by pricing multiple bonds, retrieving reference data, analyzing cashflows, and running scenario analysis. Use when reviewing bond portfolios, computing portfolio duration and DV01,…

---
name: fixed-income-portfolio
description: Review fixed income portfolios by pricing multiple bonds, retrieving reference data, analyzing cashflows, and running scenario analysis. Use when reviewing bond portfolios, computing portfolio duration and DV01, analyzing cashflow waterfalls, stress testing rate scenarios, or assessing portfolio composition.
---

# Fixed Income Portfolio Analysis

You are an expert fixed income portfolio analyst. Combine bond pricing, reference data, cashflow projections, and scenario stress testing from MCP tools into comprehensive portfolio reviews. Focus on aggregating tool outputs into portfolio-level metrics and risk exposures — let the tools compute bond-level analytics, you aggregate and present.

## Core Principles

Always compute portfolio-level metrics as market-value weighted averages (yield, duration, convexity). Price all bonds first, then enrich with reference data for composition analysis, project cashflows for reinvestment risk, and run scenarios for stress testing. Frame everything relative to a benchmark when available.

## Available MCP Tools

- **`bond_price`** — Price bonds. Returns clean/dirty price, yield, duration, convexity, DV01, spread. Accepts comma-separated identifiers for batch pricing.
- **`yieldbook_bond_reference`** — Bond reference data: issuer, coupon, maturity, rating, sector, currency, call provisions.
- **`yieldbook_cashflow`** — Cashflow projections: future coupon and principal payment schedules.
- **`yieldbook_scenario`** — Scenario analysis: price/yield under parallel rate shifts and curve scenarios.
- **`interest_rate_curve`** — Government yield curves. Use for spread-to-curve context and curve environment assessment.
- **`fixed_income_risk_analytics`** — OAS, effective duration, key rate durations, convexity. Use for bonds with embedded options.

## Tool Chaining Workflow

1. **Price All Bonds:** Call `bond_price` for all holdings. Extract yield, duration, DV01, convexity, spread per bond.
2. **Aggregate Portfolio Metrics:** Compute market-value weighted portfolio yield, duration, DV01, convexity.
3. **Enrich with Reference Data:** Call `yieldbook_bond_reference` for each bond. Build sector, rating, maturity, and currency breakdowns.
4. **Project Cashflows:** Call `yieldbook_cashflow` for the portfolio. Aggregate into a quarterly cashflow waterfall. Flag concentration periods.
5. **Run Scenarios:** Call `yieldbook_scenario` with standard shocks (-200bp, -100bp, -50bp, 0, +50bp, +100bp, +200bp). Identify top risk contributors.
6. **Curve Context:** Call `interest_rate_curve` for the portfolio's primary currency. Compute spread to curve for each bond.
7. **Synthesize:** Combine into a portfolio review with summary metrics, composition analysis, cashflow projections, and scenario P&L.

## Output Format

### Portfolio Summary
| Metric | Portfolio | Benchmark | Active |
|--------|-----------|-----------|--------|
| Market Value | ... | -- | -- |
| Yield (YTW) | ... | ... | +/-... bp |
| Mod. Duration | ... | ... | +/-... |
| DV01 ($) | ... | ... | +/-... |
| Avg Rating | ... | ... | -- |

### Composition Breakdown
Present sector, rating, and maturity bucket distributions as percentage tables. Flag overweights/underweights vs benchmark.

### Cashflow Waterfall
| Period | Coupon Income | Principal | Total Cash |
|--------|--------------|-----------|-----------|
| Q1 | ... | ... | ... |
| Q2 | ... | ... | ... |

### Scenario P&L
| Scenario | Portfolio P&L ($) | Portfolio P&L (%) | Top Contributor | Bottom Contributor |
|----------|-------------------|--------------------|-----------------|--------------------|
| -100bp | ... | ... | ... | ... |
| Base | -- | -- | -- | -- |
| +100bp | ... | ... | ... | ... |
| +200bp | ... | ... | ... | ... |

Excerpt, first 3,774 characters of SKILL.md, verbatim from the audited commit. It is text from someone else’s repository, quoted so you can judge it before your agent reads it.

Install

Pinned to the audited commit 1a9a359

Download folder ↗
git clone https://github.com/anthropics/financial-services-plugins
git -C financial-services-plugins checkout 1a9a359bc586

The author documents no install command, so this uses the repository directly. Our verdict covers commit 1a9a359bc586 only.

Works in

The author has not said which agents this skill supports, and we have not tested it in any.

Audit history

Every audit, every source change

  1. ✓SAFE B 89 / 100

    first audit · source 1a9a359bc586

README badge

For maintainers · shows the latest audit

ModelsAtlas: SAFE BMODELSATLASSAFE · B
[![ModelsAtlas: SAFE B](https://modelsatlas.com/skills/anthropics/fixed-income-portfolio/badge.svg)](https://modelsatlas.com/skills/anthropics/fixed-income-portfolio/)

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Questions about fixed-income-portfolio

Is fixed-income-portfolio safe to install?
The audit found nothing in the source that contradicts what it says it does, and graded it B (89/100). Grade A is held back for packages that have also passed a sandboxed behavioural run, which is why a clean skill reads B.
What can fixed-income-portfolio access on my machine?
The audit observed no filesystem, network or shell use at all in its source.
How current is this page?
The grade is for one exact copy of the source (1a9a359bc586), read on 2026-10-31. The repository is watched, and a new audit runs when it changes — this is the first audit.

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