Im Registry indexiert
fred
US/global macro time series from St. Louis Fed FRED — CPI, GDP, Fed funds, yields, M2, DXY, etc.
Übersicht
US/global macro time series from St. Louis Fed FRED — CPI, GDP, Fed funds, yields, M2, DXY, etc.
Vollständige Dokumentation lesen
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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.
Dateimetadaten
name: fred description: US/global macro time series from St. Louis Fed FRED — CPI, GDP, Fed funds, yields, M2, DXY, etc.
Originaltext anzeigen
---
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.
Quelle prüfen
Preis und Betriebskosten
- Skill beziehen
- Preis unbestätigt
- Ausführen
- Anforderungen unbestätigt. Agenten-, API- und Dienstkosten an der Quelle prüfen.
- Lizenz
- NOASSERTION
- Preis unbestätigt
- Der Preis ist noch nicht bestätigt. Vorhandene Quell- und Installationslinks bleiben verfügbar.
Kostenloser Bezug bedeutet nicht kostenlosen Betrieb. Preise sind keine Sicherheitsbewertung. Preisinformation einreichen →
Skill-Quelle erfasst
Ein Anleitungspfad ist erfasst. Das ist kein Ausführungstest und keine Sicherheits- oder Kompatibilitätsgarantie.
Vor Installation prüfen: Automatische Installation vermeiden
Lizenz: 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
Tools sind Metadatenhinweise, keine getestete Kompatibilität. Prompts sind Vorschläge.
Mit einer kleinen Aufgabe beginnen
- 1Quelle lesen und Eingaben, Ergebnisse, Abhängigkeiten sowie Berechtigungen prüfen.
- 2Agent um einen Plan bitten. Einrichtung und Kosten vor einem isolierten Test genehmigen.
- 3Ergebnisse und geänderte Dateien prüfen. Nur tatsächliche Ausführungen melden und die Quellrevision aufbewahren.
Prüfe Abhängigkeiten, API-Schlüssel und externe Kosten in der Quelle. Öffentliche Repositories bedeuten nicht, dass alle Dienste kostenlos sind.
Quelle und Nutzungshinweise
Metadaten und Prüfungen dienen der Orientierung. Beliebtheit, Quellenerfassung und erfolgreiche Ausführung sind verschiedene Fakten.
- Quell-Repository
- kansoku-trade/kansoku
- Lizenz
- NOASSERTION
- Version
- 1.0.0
- Letzter GitHub-Push
- 5. Sept. 2026
- Verzeichnis aktualisiert
- 5. Sept. 2026
- Anleitungspfad
- .claude/skills/fred/SKILL.md @ e1559493ca73
Version aus den Verzeichnismetadaten; Releases der Quelle prüfen.
Qualität
68/100
Vielversprechend
Vertrauen
55/100
Do not auto-install
Audit
73/100
Prüfung nötig
- 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
- —
- Ergebnisse
- —
Kopieren ist keine Installation. Zahlen benötigen eine Erfolgsmeldung und garantieren keine allgemeine Qualität.
Agent-Zugang
Die Registry API stellt Entscheidungs-, Vertrauens-, Audit-, Use-Case- und Installationssignale ohne UI-Scraping bereit.
Weitere Details
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"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"
}
}Für Ersteller
Quelle des Eintrags
Registry-indexiert
Dieser Eintrag wurde aus öffentlichen Quellen indexiert und ist erst nach Genehmigung eines Maintainer-Anspruchs offiziell.
- Ersteller
- kansoku-trade
- Quelle
- kansoku-trade/kansoku
- Indexiert von
- OpenAgentSkill Community-Index
Die Zuordnung verlinkt auf das öffentliche Repository oder Creator-Profil. Creator können den Eintrag beanspruchen, um Eigentümersignale zu aktualisieren.
Diesen Skill beanspruchenEigentümeranspruch
Diesen Skill-Eintrag beanspruchen
Dieser Registry-indexiert-Eintrag wird kansoku-trade zugeschrieben, ist aber noch nicht offiziell markiert. Beanspruche ihn, um ein verifiziertes Eigentümersignal hinzuzufügen und künftige Launch-, Installations- und Audit-Updates vertrauenswürdiger zu machen.
Share-Kit
Creator-Backlink-Kit
Evidenz-Badges in deine README einfügen
Zeige den kanonischen Eintrag, aktuelle Vertrauens- und Audit-Signale sowie echte Agent-Proven-Evidenz dort, wo Entwickler das Repository bewerten.
[](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)Community-Signal
Teile mit, ob dieser Skill für deinen Agent-Workflow nützlich ist. Zusammengefasstes Feedback verbessert das Ranking im Laufe der Zeit.
