kansoku-trade

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fred

US/global macro time series from St. Louis Fed FRED — CPI, GDP, Fed funds, yields, M2, DXY, etc.

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Precio sin confirmar★ 303 Estrellas de GitHubRegistro actualizado · 5 sept 2026agent-skill

Resumen

US/global macro time series from St. Louis Fed FRED — CPI, GDP, Fed funds, yields, M2, DXY, etc.

Leer documentación completa

Documentación de origen, no instrucciones para este sitio. Revisa los permisos antes de ejecutar comandos.

fred

Response language: match user input (zh-CN / zh-TW / en).

When to use

Trigger phrases:

  • CPI / core CPI / PCE / PPI / inflation / 通胀 / 核心通胀
  • GDP / 国内生产总值
  • unemployment / 失业率 / U-3 / U-6 / nonfarm / 非农
  • Fed funds / 联储利率 / SOFR
  • 2Y / 10Y yield / yield curve / 美债利率 / 收益率曲线
  • M1 / M2 / 货币供应
  • DXY / 美元指数 / USD index
  • VIX / 10Y breakeven / 通胀预期
  • WTI / Brent / 油价 / gold
  • consumer sentiment / 消费者信心 / housing starts / retail sales

Workflow

  1. Resolve user phrasing to a FRED series ID — first via aliases.json (curated), then search.py if no alias matches.
  2. Run series.py <SERIES_ID|alias> for observations + metadata.
  3. Synthesise NL reply with units, frequency, and last update date; cite "Source: St. Louis Fed (FRED)".

Environment is auto-loaded on script import from .env at project root (or ~/.config/market-intel/env as fallback) — no manual source needed.

CLI examples

# Latest 60 monthly CPI observations
python3 .claude/skills/fred/scripts/series.py CPI

# 2Y Treasury yield, last 30 daily observations
python3 .claude/skills/fred/scripts/series.py "2Y yield" --limit 30

# 10-year breakeven inflation, custom window, ascending
python3 .claude/skills/fred/scripts/series.py T10YIE --start 2024-01-01 --order asc

# Discover series IDs
python3 .claude/skills/fred/scripts/search.py "consumer price index" --limit 10

# Bypass cache
python3 .claude/skills/fred/scripts/series.py CPI --fresh

Output shape

{
  "ok": true,
  "data": [{"date": "2026-04-01", "value": 314.2}, ...],
  "meta": {
    "series_id": "CPIAUCSL",
    "title": "Consumer Price Index for All Urban Consumers: All Items",
    "units": "Index 1982-1984=100",
    "frequency": "Monthly",
    "seasonal_adjustment": "SA",
    "last_updated": "2026-05-13 07:36:01-05",
    "count_returned": 60,
    "alias_resolved": "CPI"
  }
}

Available aliases

See aliases.json for the curated CN/EN → series ID map. Common ones:

AliasSeries ID
CPICPIAUCSL
core CPI / 核心 CPICPILFESL
PCEPCEPI
GDPGDPC1
unemployment / 失业率UNRATE
nonfarm / 非农PAYEMS
Fed funds / 联储利率DFF
10Y yield / 美债 10 年DGS10
yield curveT10Y2Y
DXY / 美元指数DTWEXBGS
M2M2SL
VIXVIXCLS
10Y breakeven / 通胀预期T10YIE

If the user's phrase isn't in the map, fall back to search.py "<query>" and pick the highest-popularity non-discontinued result.

Error handling

Exit codeMeaningLLM action
0SuccessParse data, narrate.
2Missing FRED_API_KEYTell user to register at https://fred.stlouisfed.org/docs/api/api_key.html and add to .env at project root.
3HTTP 4xx or non-JSONSurface error from hint.
4NetworkSuggest retry.

Known limitations

  • Daily series may have weekend/holiday gaps (FRED returns NaN as .; we normalise to null).
  • "Discontinued" series filtered by default in search.py — use --include-discontinued to override.
  • Series metadata cache TTL 24 h; observation cache TTL 1 h. Use --fresh for the latest.
  • longbridge-quote for live equity quotes.
  • gdelt for narrative / sentiment context.
  • sec-edgar for individual-company filings.
Metadatos del archivo
name: fred
description: US/global macro time series from St. Louis Fed FRED — CPI, GDP, Fed funds, yields, M2, DXY, etc.
Ver texto original
---
name: fred
description: US/global macro time series from St. Louis Fed FRED — CPI, GDP, Fed funds, yields, M2, DXY, etc.
---

# fred

> Response language: match user input (zh-CN / zh-TW / en).

## When to use

Trigger phrases:

- CPI / core CPI / PCE / PPI / inflation / 通胀 / 核心通胀
- GDP / 国内生产总值
- unemployment / 失业率 / U-3 / U-6 / nonfarm / 非农
- Fed funds / 联储利率 / SOFR
- 2Y / 10Y yield / yield curve / 美债利率 / 收益率曲线
- M1 / M2 / 货币供应
- DXY / 美元指数 / USD index
- VIX / 10Y breakeven / 通胀预期
- WTI / Brent / 油价 / gold
- consumer sentiment / 消费者信心 / housing starts / retail sales

## Workflow

1. Resolve user phrasing to a FRED series ID — first via `aliases.json` (curated), then `search.py` if no alias matches.
2. Run `series.py <SERIES_ID|alias>` for observations + metadata.
3. Synthesise NL reply with units, frequency, and last update date; cite "Source: St. Louis Fed (FRED)".

Environment is auto-loaded on script import from `.env` at project root (or `~/.config/market-intel/env` as fallback) — no manual `source` needed.

## CLI examples

```bash
# Latest 60 monthly CPI observations
python3 .claude/skills/fred/scripts/series.py CPI

# 2Y Treasury yield, last 30 daily observations
python3 .claude/skills/fred/scripts/series.py "2Y yield" --limit 30

# 10-year breakeven inflation, custom window, ascending
python3 .claude/skills/fred/scripts/series.py T10YIE --start 2024-01-01 --order asc

# Discover series IDs
python3 .claude/skills/fred/scripts/search.py "consumer price index" --limit 10

# Bypass cache
python3 .claude/skills/fred/scripts/series.py CPI --fresh
```

## Output shape

```json
{
  "ok": true,
  "data": [{"date": "2026-04-01", "value": 314.2}, ...],
  "meta": {
    "series_id": "CPIAUCSL",
    "title": "Consumer Price Index for All Urban Consumers: All Items",
    "units": "Index 1982-1984=100",
    "frequency": "Monthly",
    "seasonal_adjustment": "SA",
    "last_updated": "2026-05-13 07:36:01-05",
    "count_returned": 60,
    "alias_resolved": "CPI"
  }
}
```

## Available aliases

See `aliases.json` for the curated CN/EN → series ID map. Common ones:

| Alias                    | Series ID |
| ------------------------ | --------- |
| CPI                      | CPIAUCSL  |
| core CPI / 核心 CPI      | CPILFESL  |
| PCE                      | PCEPI     |
| GDP                      | GDPC1     |
| unemployment / 失业率    | UNRATE    |
| nonfarm / 非农           | PAYEMS    |
| Fed funds / 联储利率     | DFF       |
| 10Y yield / 美债 10 年   | DGS10     |
| yield curve              | T10Y2Y    |
| DXY / 美元指数           | DTWEXBGS  |
| M2                       | M2SL      |
| VIX                      | VIXCLS    |
| 10Y breakeven / 通胀预期 | T10YIE    |

If the user's phrase isn't in the map, fall back to `search.py "<query>"` and pick the highest-popularity non-discontinued result.

## Error handling

| Exit code | Meaning                | LLM action                                                                                                    |
| --------- | ---------------------- | ------------------------------------------------------------------------------------------------------------- |
| 0         | Success                | Parse `data`, narrate.                                                                                        |
| 2         | Missing `FRED_API_KEY` | Tell user to register at https://fred.stlouisfed.org/docs/api/api_key.html and add to `.env` at project root. |
| 3         | HTTP 4xx or non-JSON   | Surface error from `hint`.                                                                                    |
| 4         | Network                | Suggest retry.                                                                                                |

## Known limitations

- Daily series may have weekend/holiday gaps (FRED returns NaN as `.`; we normalise to `null`).
- "Discontinued" series filtered by default in `search.py` — use `--include-discontinued` to override.
- Series metadata cache TTL 24 h; observation cache TTL 1 h. Use `--fresh` for the latest.

## Related skills

- `longbridge-quote` for live equity quotes.
- `gdelt` for narrative / sentiment context.
- `sec-edgar` for individual-company filings.

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NOASSERTION
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Revisar antes de instalar: Evitar instalación automática

Licencia: NOASSERTION

  • Dependency or permission surface needs review
  • Permission surface may require sandboxing
  • Financial research output is not financial advice; require human review before any live investment decision
  • SKILL.md contains a typo: 'Output shap' should be 'Output shape'.
  • The skill depends on a `_shared` module (imported as `from _shared import client`) that is not included in the skill directory and is not documented in SKILL.md.
  • The repository has no detected license (NOASSERTION), which may affect compliance clarity.
  • Financial research output is not financial advice; require human review before any live investment decision.
  • Quality score needs review
  • Permission surface needs review: secrets or environment access, shell or command execution
  • Stars/forks activity: 303 stars, 33 forks; issue activity unavailable in current metadata
  • Dependency/runtime risk: command execution surface, credential or environment access
  • Permission surface: secrets or environment access, shell or command execution
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Empieza con una tarea pequeña

  1. 1Lee la fuente y confirma entradas, resultados, dependencias y permisos.
  2. 2Pide un plan al agente. Aprueba la configuración y los costes antes de probar en un entorno aislado.
  3. 3Comprueba resultados y archivos modificados. Informa solo de lo ejecutado y conserva la revisión de la fuente.

Consulta dependencias, claves API y costes externos en la fuente. Un repositorio público no implica servicios gratuitos.

Fuente y notas de uso

Indexado

Los metadatos y revisiones son orientativos. Popularidad, descubrimiento y ejecución correcta son hechos distintos.

Repositorio fuente
kansoku-trade/kansoku
Licencia
NOASSERTION
Versión
1.0.0
Último push de GitHub
5 sept 2026
Registro actualizado
5 sept 2026

Versión declarada en el registro; consulta las versiones de la fuente.

Calidad

68/100

Prometedor

Confianza

55/100

Do not auto-install

Auditoría

73/100

Requiere revisión

  • Dependency or permission surface needs review
  • Permission surface may require sandboxing
  • Financial research output is not financial advice; require human review before any live investment decision
  • SKILL.md contains a typo: 'Output shap' should be 'Output shape'.
  • The skill depends on a `_shared` module (imported as `from _shared import client`) that is not included in the skill directory and is not documented in SKILL.md.
  • The repository has no detected license (NOASSERTION), which may affect compliance clarity.
  • Financial research output is not financial advice; require human review before any live investment decision.
  • Quality score needs review
  • Permission surface needs review: secrets or environment access, shell or command execution
  • Stars/forks activity: 303 stars, 33 forks; issue activity unavailable in current metadata
  • Dependency/runtime risk: command execution surface, credential or environment access
  • Permission surface: secrets or environment access, shell or command execution
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Más detalles
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    "payload_template": {
      "event_id": "<install_receipt.outcome_feedback.event_id or feedback.event_id from /api/agent/resolve>",
      "skill_slug": "kansoku-trade-fred",
      "task": "Use fred in an agent workflow",
      "agent": "codex",
      "outcome": "success",
      "install_used": true,
      "risk_blocked": false,
      "setup_required": false,
      "task_success": true,
      "output_quality": 4,
      "error_type": null,
      "human_review_required": false,
      "workspace": "sandbox",
      "time_to_useful_ms": 120000,
      "notes": "Report the smallest successful task, setup friction, files touched, and risk notes."
    }
  },
  "endpoints": {
    "web": "https://www.openagentskill.com/skills/kansoku-trade-fred",
    "api": "https://www.openagentskill.com/api/agent/skills/kansoku-trade-fred",
    "audit": "https://www.openagentskill.com/skills/kansoku-trade-fred/audit",
    "eval": "https://www.openagentskill.com/api/agent/evals?slug=kansoku-trade-fred&task=Use%20fred%20in%20an%20agent%20workflow&max_risk=medium",
    "resolve": "https://www.openagentskill.com/api/agent/resolve?task=Use%20fred%20in%20an%20agent%20workflow&agent=codex&max_risk=medium",
    "receipt": "https://www.openagentskill.com/api/agent/receipt?task=Use%20fred%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text",
    "install": "https://www.openagentskill.com/api/skills/kansoku-trade-fred/install",
    "manifest": "https://www.openagentskill.com/api/registry/manifest/kansoku-trade-fred"
  }
}

Para el creador

Fuente de la ficha

Indexado por Registry

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Indexado por
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La atribución enlaza al repositorio público o al perfil del creador. Los creadores pueden reclamar la ficha para actualizar las señales de propiedad.

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Esta ficha Indexado por Registry se atribuye a kansoku-trade, pero aún no está marcada como oficial. Reclámala para añadir una señal de propietario verificado y hacer más fiables futuras actualizaciones de lanzamiento, instalación y auditoría.

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[![Listed on OpenAgentSkill](https://www.openagentskill.com/api/badge/kansoku-trade-fred?metric=listed&label=Listed)](https://www.openagentskill.com/skills/kansoku-trade-fred?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[![OpenAgentSkill Trust](https://www.openagentskill.com/api/badge/kansoku-trade-fred?metric=trust&label=Trust)](https://www.openagentskill.com/skills/kansoku-trade-fred?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
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[![Agent Proven](https://www.openagentskill.com/api/badge/kansoku-trade-fred?metric=proven&label=Agent%20Proven)](https://www.openagentskill.com/skills/kansoku-trade-fred?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)

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