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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Preis unbestätigt★ 303 GitHub-StarsVerzeichnis aktualisiert · 5. Sept. 2026agent-skill

Übersicht

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

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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

  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.
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.

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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
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Tools sind Metadatenhinweise, keine getestete Kompatibilität. Prompts sind Vorschläge.

Mit einer kleinen Aufgabe beginnen

  1. 1Quelle lesen und Eingaben, Ergebnisse, Abhängigkeiten sowie Berechtigungen prüfen.
  2. 2Agent um einen Plan bitten. Einrichtung und Kosten vor einem isolierten Test genehmigen.
  3. 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

Erfasst

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

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
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Ergebnisse
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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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      "failed",
      "not_relevant",
      "blocked_by_risk",
      "setup_required"
    ],
    "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"
  }
}

Für Ersteller

Quelle des Eintrags

Registry-indexiert

Beanspruchbar

Dieser Eintrag wurde aus öffentlichen Quellen indexiert und ist erst nach Genehmigung eines Maintainer-Anspruchs offiziell.

Ersteller
kansoku-trade
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 beanspruchen

Eigentümeranspruch

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.

[![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)
[![OpenAgentSkill Audit](https://www.openagentskill.com/api/badge/kansoku-trade-fred?metric=audit&label=Audit)](https://www.openagentskill.com/skills/kansoku-trade-fred/audit)
[![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)

Community-Signal

Teile mit, ob dieser Skill für deinen Agent-Workflow nützlich ist. Zusammengefasstes Feedback verbessert das Ranking im Laufe der Zeit.