Indexado en Registry
fred
US/global macro time series from St. Louis Fed FRED — CPI, GDP, Fed funds, yields, M2, DXY, etc.
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
- Resolve user phrasing to a FRED series ID — first via
aliases.json(curated), thensearch.pyif no alias matches. - Run
series.py <SERIES_ID|alias>for observations + metadata. - 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:
| 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 tonull). - "Discontinued" series filtered by default in
search.py— use--include-discontinuedto override. - Series metadata cache TTL 24 h; observation cache TTL 1 h. Use
--freshfor the latest.
Related skills
longbridge-quotefor live equity quotes.gdeltfor narrative / sentiment context.sec-edgarfor 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.
Revisar el código fuente
Precio y costes de ejecución
- Obtener el skill
- Precio sin confirmar
- Ejecutarlo
- Requisitos sin confirmar. Consulta los costes del agente, API y servicios en la fuente.
- Licencia
- NOASSERTION
- Precio sin confirmar
- No hemos confirmado el precio. Los enlaces existentes al código y a la instalación siguen disponibles.
Obtener gratis no significa ejecutar gratis. El precio no es una evaluación de seguridad. Enviar información de precio →
Fuente del skill registrada
La ruta de instrucciones está registrada. No implica pruebas de ejecución, seguridad ni compatibilidad.
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
Las herramientas son indicios de metadatos, no compatibilidad probada. Los prompts son sugerencias.
Empieza con una tarea pequeña
- 1Lee la fuente y confirma entradas, resultados, dependencias y permisos.
- 2Pide un plan al agente. Aprueba la configuración y los costes antes de probar en un entorno aislado.
- 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
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
- Ruta de instrucciones
- .claude/skills/fred/SKILL.md @ e1559493ca73
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
- Verified installs
- —
- Resultados
- —
Copiar no es instalar. Los recuentos requieren un informe de instalación correcta, no garantizan calidad general.
Acceso para agentes
La API Registry expone señales de decisión, confianza, auditoría, casos de uso e instalación sin raspar la interfaz.
Más detalles
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"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
Esta ficha se indexó desde fuentes públicas y no está marcada como oficial hasta que se apruebe una reclamación de mantenedor.
- Creador
- kansoku-trade
- Fuente
- kansoku-trade/kansoku
- Indexado por
- Índice comunitario de OpenAgentSkill
La atribución enlaza al repositorio público o al perfil del creador. Los creadores pueden reclamar la ficha para actualizar las señales de propiedad.
Reclamar este skillReclamación del propietario
Reclamar esta ficha de skill
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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Kit de enlaces para creadores
Añade las insignias de evidencia a tu README
Muestra la ficha canónica, las señales actuales de confianza y auditoría, y evidencia real de Agent-Proven donde los desarrolladores evalúan el repositorio.
[](https://www.openagentskill.com/skills/kansoku-trade-fred?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/kansoku-trade-fred?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/kansoku-trade-fred/audit)
[](https://www.openagentskill.com/skills/kansoku-trade-fred?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)Señal de comunidad
Comparte si este skill resulta útil para tu flujo de Agent. Los comentarios agregados mejoran la clasificación con el tiempo.
