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fda-catalyst-analysis
Dated FDA catalyst calendar (PDUFA target dates, AdCom meetings, device decisions, trial readouts, earnings) with AdCom-style scrutiny outcome framing and historical-case grounding. The FDA decision is the strongest stock catalyst in med.medicines_biotech — use this skill to enum
Übersicht
Dated FDA catalyst calendar (PDUFA target dates, AdCom meetings, device decisions, trial readouts, earnings) with AdCom-style scrutiny outcome framing and historical-case grounding. The FDA decision is the strongest stock catalyst in med.medicines_biotech — use this skill to enumerate, verify, and size upcoming catalysts for any biotech/pharma ticker or watchlist.
Vollständige Dokumentation lesen
Quelldokumentation, keine Anweisungen für diese Website. Vor dem Ausführen von Befehlen die Berechtigungen prüfen.
Methodology inspired by publicly taught biotech catalyst frameworks; all text is an original paraphrase.
Defaults
| Parameter | Default Value | Rationale |
|---|---|---|
| forward_window_quarters | 4 | Standard catalyst window; extend to 8 on request |
| include_superseded | false | Active-only events by default; supersede chains available on request |
| min_verification | false | Show all events; annotate unverified instead of hiding |
| horizon_days | 180 | Default for get_upcoming_pdufa horizon |
| domain | event-driven | Med catalyst analysis is event-driven by construction |
Preflight
Run canonical pre-flight per contracts/preflight.md. Propagate X-Agentii-Trace per contracts/x-agentii-trace-header.md. Confirm ticker resolution via search_companies before catalyst queries.
Triggers
- "What FDA catalysts are coming up for [ticker]?"
- "When is the PDUFA date for [drug/ticker]?"
- "Build a catalyst calendar for my biotech watchlist."
- "What AdCom meetings are scheduled for [ticker]?"
- "How does the market typically react to [approval/CRL/AdCom vote]?"
- "What are the binary events for [ticker] over the next 6 months?"
- "Which med names have FDA decisions this quarter?"
- "Evaluate the approval odds for [drug] ahead of its PDUFA."
- "What happened the last time a similar drug went to AdCom?"
- "List upcoming device decisions (PMA/De Novo/510(k)) for [ticker]."
- "Which catalysts overlap with [ticker]'s earnings date?"
- "Recap the decision history for [application/drug]."
Production Grounding
- FDA decisions (approve/CRL/withdraw) are the strongest price catalysts in
med.medicines_biotech; AdCom votes often pre-move the stock by days. - Regulatory mechanics: PDUFA target dates, priority review, breakthrough designation, accelerated approval, CRL remediation timelines, AdCom vote patterns (approve/reject/deferral/conditional), post-marketing requirements.
- AdCom-style scrutiny axes to apply when framing outcome odds: safety signals, statistical adequacy, subgroup analyses, missing data, endpoint appropriateness, benefit-risk reasoning (per
references/knowledge-frameworks.md). - Devices: PMA / De Novo / 510(k) decisions carry similar binary-event dynamics (
get_device_decision). - Never fabricate dates, votes, or outcomes. When a tool returns nothing, annotate the coverage gap.
Data Source Priority
- Structured catalyst data:
get_upcoming_pdufa/get_pdufa_decision/get_device_decision(pipeline.fda_calendar_event / device_decision_event). - Trial context:
search_clinical_trials/get_clinical_trial; approval history:search_fda_approvals/get_fda_approval. - Company/filing context:
get_company_profile,search_documents,read_source_outline/pages(incl. adcom briefing docs via meeting slugs). - Historical grounding:
search_investment_cases(sectors=med, event_type=adcom_vote/pdufa_decision/crl/approval),search_by_analogue,search_investment_strategies(sectors=med). - Earnings overlap:
search_earnings_calendar/list_upcoming_earnings.
Methodology
Retrieval Scope
unstructured_document_search
Retrieval Strategy
- Resolve ticker(s) via
search_companies; collect company_id/cik for device queries. - Pull active catalyst events:
get_upcoming_pdufa(ticker, horizon_days=default),get_device_decision, upcoming earnings. - For each major event, pull decision history (
get_pdufa_decisionby drug/application) and trial context (search_clinical_trials). - For AdCom events, retrieve the meeting documents via
list_sources(source_type=adcom_briefing)+read_source_outline/pagesusing meeting slug citations; apply scrutiny axes. - Ground the play in knowledge:
search_investment_cases/search_by_analoguewith med filters; cite /v/ records.
Temporal Scope
See frontmatter temporal_scope block. Historical decision history may span up to 8 quarters back when requested.
Tool Allowlist
See frontmatter allowed_tools.
Protocol
- Ticker resolution
- Catalyst enumeration (dated events)
- Per-event outcome framing (scrutiny axes + decision history)
- Historical analogue retrieval
- Calendar synthesis + risk flags
Modes
- Watchlist (default, multi-ticker): produce one calendar with per-ticker sections; sort by date.
- Single ticker deep-dive: full event timeline + per-event probability framing + positioning context.
- Event type: restrict to PDUFA / AdCom / devices / trials / earnings on request.
Tool Fallbacks
| Failure | Fallback |
|---|---|
| get_upcoming_pdufa empty | Search filings (search_documents keyword PDUFA) + search_sec_filings 8-Ks; annotate coverage_gap |
| AdCom retrieval path 404 | search_documents with source_institution filter; degrade to calendar metadata |
| search_clinical_trials unavailable | Use filings/announcements; flag degraded |
| Knowledge tools empty | Proceed with structured data only; annotate knowledge coverage_gap |
Output File
{ticker}/{YYYY-MM-DD_HHMM}_fda-catalyst-analysis_{affix}.md (watchlist: watchlist/{YYYY-MM-DD_HHMM}_fda-catalyst-calendar_{affix}.md)
Output Structure
- Executive Summary — highest-impact catalysts in the window, 2-3 sentences
- Catalyst Calendar — dated table: date, ticker, event type, drug/device, application, expected-impact framing
- Per-Event Analysis — scrutiny-axes assessment (safety/statistics/subgroups/benefit-risk) + decision history
- Historical Analogues — matched cases with /v/ citations and quantified outcomes
- Risk Assessment — binary-risk sizing, overlap clusters, low-verification flags
- Coverage Gaps — missing data, degraded modes, unverified events
Error Handling
| Error | Fallback |
|---|---|
| No PDUFA rows | Fall back to earnings + pipeline events; annotate coverage_gap — never fabricate dates |
| Superseded dates | Active-only by default; expose supersede chain via include_superseded=true |
| Ticker not in med universe | Resolve via CIK/drug-universe match; surface the classification gap |
Memory Load
See contracts/memory-load.md.
Snapshot
See contracts/snapshot-synthesis.md.
Final Summary (TUI)
Include ### Key Citations block with 0-10 clickable /v/ URLs.
References
contracts/citation-and-memory.mdcontracts/output-frontmatter-schema.mdcontracts/memory-load.mdcontracts/snapshot-synthesis.mdcontracts/preflight.mdreferences/knowledge-frameworks.md
Dateimetadaten
name: fda-catalyst-analysis description: Dated FDA catalyst calendar (PDUFA target dates, AdCom meetings, device decisions, trial readouts, earnings) with AdCom-style scrutiny outcome framing and historical-case grounding. The FDA decision is the strongest stock catalyst in med.medicines_biotech — use this skill to enumerate, verify, and size upcoming catalysts for any biotech/pharma ticker or watchlist. multi_ticker_semantics: basket_v1_1 temporal_scope: default_quarters: 4 max_quarters: 8 description: "Forward catalyst window default 4 quarters; up to 8 for long-horizon pipeline mapping." allowed_tools: - get_upcoming_pdufa - get_pdufa_decision - get_device_decision - search_adcom_meetings - get_adcom_meeting - search_clinical_trials - get_clinical_trial - search_fda_approvals - get_fda_approval - search_companies - get_company_profile - search_documents - search_sec_filings - list_sources - read_source_outline - read_source_pages - search_earnings_calendar - list_upcoming_earnings - search_investment_cases - get_investment_case - search_investment_strategies - get_investment_strategy - search_technical_setups - get_technical_setup - search_by_analogue - search_knowledge_entries - get_knowledge_entry retrieval_scope: unstructured_document_search min_tool_diversity: 3 parameter_free: false
Originaltext anzeigen
---
name: fda-catalyst-analysis
description: Dated FDA catalyst calendar (PDUFA target dates, AdCom meetings, device decisions, trial readouts, earnings) with AdCom-style scrutiny outcome framing and historical-case grounding. The FDA decision is the strongest stock catalyst in med.medicines_biotech — use this skill to enumerate, verify, and size upcoming catalysts for any biotech/pharma ticker or watchlist.
multi_ticker_semantics: basket_v1_1
temporal_scope:
default_quarters: 4
max_quarters: 8
description: "Forward catalyst window default 4 quarters; up to 8 for long-horizon pipeline mapping."
allowed_tools:
- get_upcoming_pdufa
- get_pdufa_decision
- get_device_decision
- search_adcom_meetings
- get_adcom_meeting
- search_clinical_trials
- get_clinical_trial
- search_fda_approvals
- get_fda_approval
- search_companies
- get_company_profile
- search_documents
- search_sec_filings
- list_sources
- read_source_outline
- read_source_pages
- search_earnings_calendar
- list_upcoming_earnings
- search_investment_cases
- get_investment_case
- search_investment_strategies
- get_investment_strategy
- search_technical_setups
- get_technical_setup
- search_by_analogue
- search_knowledge_entries
- get_knowledge_entry
retrieval_scope: unstructured_document_search
min_tool_diversity: 3
parameter_free: false
---
> Methodology inspired by publicly taught biotech catalyst frameworks; all text is an original paraphrase.
## Defaults
| Parameter | Default Value | Rationale |
|-----------|---------------|-----------|
| forward_window_quarters | 4 | Standard catalyst window; extend to 8 on request |
| include_superseded | false | Active-only events by default; supersede chains available on request |
| min_verification | false | Show all events; annotate unverified instead of hiding |
| horizon_days | 180 | Default for get_upcoming_pdufa horizon |
| domain | event-driven | Med catalyst analysis is event-driven by construction |
## Preflight
Run canonical pre-flight per `contracts/preflight.md`. Propagate X-Agentii-Trace per `contracts/x-agentii-trace-header.md`. Confirm ticker resolution via `search_companies` before catalyst queries.
## Triggers
- "What FDA catalysts are coming up for [ticker]?"
- "When is the PDUFA date for [drug/ticker]?"
- "Build a catalyst calendar for my biotech watchlist."
- "What AdCom meetings are scheduled for [ticker]?"
- "How does the market typically react to [approval/CRL/AdCom vote]?"
- "What are the binary events for [ticker] over the next 6 months?"
- "Which med names have FDA decisions this quarter?"
- "Evaluate the approval odds for [drug] ahead of its PDUFA."
- "What happened the last time a similar drug went to AdCom?"
- "List upcoming device decisions (PMA/De Novo/510(k)) for [ticker]."
- "Which catalysts overlap with [ticker]'s earnings date?"
- "Recap the decision history for [application/drug]."
## Production Grounding
- FDA decisions (approve/CRL/withdraw) are the strongest price catalysts in `med.medicines_biotech`; AdCom votes often pre-move the stock by days.
- Regulatory mechanics: PDUFA target dates, priority review, breakthrough designation, accelerated approval, CRL remediation timelines, AdCom vote patterns (approve/reject/deferral/conditional), post-marketing requirements.
- AdCom-style scrutiny axes to apply when framing outcome odds: safety signals, statistical adequacy, subgroup analyses, missing data, endpoint appropriateness, benefit-risk reasoning (per `references/knowledge-frameworks.md`).
- Devices: PMA / De Novo / 510(k) decisions carry similar binary-event dynamics (`get_device_decision`).
- Never fabricate dates, votes, or outcomes. When a tool returns nothing, annotate the coverage gap.
## Data Source Priority
1. Structured catalyst data: `get_upcoming_pdufa` / `get_pdufa_decision` / `get_device_decision` (pipeline.fda_calendar_event / device_decision_event).
2. Trial context: `search_clinical_trials` / `get_clinical_trial`; approval history: `search_fda_approvals` / `get_fda_approval`.
3. Company/filing context: `get_company_profile`, `search_documents`, `read_source_outline/pages` (incl. adcom briefing docs via meeting slugs).
4. Historical grounding: `search_investment_cases` (sectors=med, event_type=adcom_vote/pdufa_decision/crl/approval), `search_by_analogue`, `search_investment_strategies` (sectors=med).
5. Earnings overlap: `search_earnings_calendar` / `list_upcoming_earnings`.
## Methodology
### Retrieval Scope
unstructured_document_search
### Retrieval Strategy
1. Resolve ticker(s) via `search_companies`; collect company_id/cik for device queries.
2. Pull active catalyst events: `get_upcoming_pdufa` (ticker, horizon_days=default), `get_device_decision`, upcoming earnings.
3. For each major event, pull decision history (`get_pdufa_decision` by drug/application) and trial context (`search_clinical_trials`).
4. For AdCom events, retrieve the meeting documents via `list_sources(source_type=adcom_briefing)` + `read_source_outline/pages` using meeting slug citations; apply scrutiny axes.
5. Ground the play in knowledge: `search_investment_cases`/`search_by_analogue` with med filters; cite /v/ records.
### Temporal Scope
See frontmatter temporal_scope block. Historical decision history may span up to 8 quarters back when requested.
### Tool Allowlist
See frontmatter allowed_tools.
### Protocol
1. Ticker resolution
2. Catalyst enumeration (dated events)
3. Per-event outcome framing (scrutiny axes + decision history)
4. Historical analogue retrieval
5. Calendar synthesis + risk flags
## Modes
- **Watchlist** (default, multi-ticker): produce one calendar with per-ticker sections; sort by date.
- **Single ticker deep-dive**: full event timeline + per-event probability framing + positioning context.
- **Event type**: restrict to PDUFA / AdCom / devices / trials / earnings on request.
## Tool Fallbacks
| Failure | Fallback |
|---------|----------|
| get_upcoming_pdufa empty | Search filings (`search_documents` keyword PDUFA) + `search_sec_filings` 8-Ks; annotate coverage_gap |
| AdCom retrieval path 404 | `search_documents` with source_institution filter; degrade to calendar metadata |
| search_clinical_trials unavailable | Use filings/announcements; flag degraded |
| Knowledge tools empty | Proceed with structured data only; annotate knowledge coverage_gap |
## Output File
`{ticker}/{YYYY-MM-DD_HHMM}_fda-catalyst-analysis_{affix}.md` (watchlist: `watchlist/{YYYY-MM-DD_HHMM}_fda-catalyst-calendar_{affix}.md`)
## Output Structure
1. **Executive Summary** — highest-impact catalysts in the window, 2-3 sentences
2. **Catalyst Calendar** — dated table: date, ticker, event type, drug/device, application, expected-impact framing
3. **Per-Event Analysis** — scrutiny-axes assessment (safety/statistics/subgroups/benefit-risk) + decision history
4. **Historical Analogues** — matched cases with /v/ citations and quantified outcomes
5. **Risk Assessment** — binary-risk sizing, overlap clusters, low-verification flags
6. **Coverage Gaps** — missing data, degraded modes, unverified events
## Error Handling
| Error | Fallback |
|-------|----------|
| No PDUFA rows | Fall back to earnings + pipeline events; annotate `coverage_gap` — never fabricate dates |
| Superseded dates | Active-only by default; expose supersede chain via `include_superseded=true` |
| Ticker not in med universe | Resolve via CIK/drug-universe match; surface the classification gap |
## Memory Load
See `contracts/memory-load.md`.
## Snapshot
See `contracts/snapshot-synthesis.md`.
## Final Summary (TUI)
Include ### Key Citations block with 0-10 clickable /v/ URLs.
## References
- `contracts/citation-and-memory.md`
- `contracts/output-frontmatter-schema.md`
- `contracts/memory-load.md`
- `contracts/snapshot-synthesis.md`
- `contracts/preflight.md`
- `references/knowledge-frameworks.md`
Quelle prüfen
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- Skill beziehen
- Preis unbestätigt
- Ausführen
- Anforderungen unbestätigt. Agenten-, API- und Dienstkosten an der Quelle prüfen.
- Lizenz
- Apache-2.0
- 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: Apache-2.0
- Financial research output is not financial advice; require human review before any live investment decision
- Potential broker, wallet, exchange, or real-money execution surface; sandbox and explicit approval are required
- Financial research output is not financial advice; require human review before any live investment decision.
- This skill may touch real-money trading, broker, wallet, or exchange operations; use only in a sandbox with explicit approval.
- Quality score needs review
- Stars/forks activity: 203 stars, 16 forks; issue activity unavailable in current metadata
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
- agentii-ai/agentii-investment-intelligence
- Lizenz
- Apache-2.0
- Version
- 1.0.0
- Letzter GitHub-Push
- 4. Sept. 2026
- Verzeichnis aktualisiert
- 5. Sept. 2026
Version aus den Verzeichnismetadaten; Releases der Quelle prüfen.
Qualität
67/100
Vielversprechend
Vertrauen
70/100
Nur Sandbox
Audit
79/100
Riskant
- Financial research output is not financial advice; require human review before any live investment decision
- Potential broker, wallet, exchange, or real-money execution surface; sandbox and explicit approval are required
- Financial research output is not financial advice; require human review before any live investment decision.
- This skill may touch real-money trading, broker, wallet, or exchange operations; use only in a sandbox with explicit approval.
- Quality score needs review
- Stars/forks activity: 203 stars, 16 forks; issue activity unavailable in current metadata
- 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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"manifest_url": "https://www.openagentskill.com/api/registry/manifest/agentii-ai-fda-catalyst-analysis"
},
"trust": {
"score": 78,
"label": "Strong shortlist",
"version": "trust-score-v4",
"install_policy": "block",
"evidence": {
"stars": "203 GitHub stars",
"repoActivity": "203 stars, 16 forks",
"lastPushed": "1mo since push",
"license": "Apache-2.0",
"repository": "https://github.com/agentii-ai/agentii-investment-intelligence/tree/main/plugins/vertical-plugins/bio-pharm/skills/agentii/fda-catalyst-analysis",
"install": "npx skills add agentii-ai/agentii-investment-intelligence --skill fda-catalyst-analysis",
"installSafety": "standard package or runtime install path",
"permissionSurface": "filesystem or document access, database access",
"documentation": "Usable metadata, review docs",
"agentOutcomes": "No agent outcome data yet"
},
"outcome_evidence": {
"total": 0,
"successes": 0,
"failures": 0,
"not_relevant": 0,
"success_rate": null,
"recent_success_rate": null,
"recent_failure_rate": null,
"install_attempts": 0,
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"risk_blocked": 0,
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"avg_output_quality": null,
"production_outcomes": 0,
"last_outcome_at": null,
"label": "No agent outcome data yet"
},
"auto_install": {
"allowed": false,
"sandbox_required": true,
"reason": "Do not auto-install. Inspect the source, dependencies, and permission surface first."
},
"best_for": [
"automation",
"agent-skill"
],
"known_risks": [
"Financial research output is not financial advice; require human review before any live investment decision.",
"This skill may touch real-money trading, broker, wallet, or exchange operations; use only in a sandbox with explicit approval.",
"Quality score needs review",
"Stars/forks activity: 203 stars, 16 forks; issue activity unavailable in current metadata"
]
},
"agent_proven": {
"version": "agent-proven-v1",
"score": 0,
"tier": "unproven",
"label": "Needs first agent run",
"summary": "No agent outcome reports yet. Use Resolve, run one narrow sandbox task, then report the result.",
"metrics": {
"totalOutcomes": 0,
"successfulOutcomes": 0,
"failedOutcomes": 0,
"installAttempts": 0,
"installSuccessRate": null,
"successRate": null,
"recentSuccessRate": null,
"recentFailureRate": null,
"riskBlocked": 0,
"setupRequired": 0,
"notRelevant": 0,
"avgOutputQuality": null,
"avgTimeToUsefulMs": null,
"productionOutcomes": 0,
"humanReviewRequired": 0,
"uniqueAgents": 0,
"lastOutcomeAt": null
},
"signals": [],
"penalties": [
"No real agent outcome evidence yet"
]
},
"audit": {
"score": 79,
"risk_level": "risky",
"risk_label": "Risky",
"warnings": [
"Financial research output is not financial advice; require human review before any live investment decision",
"Potential broker, wallet, exchange, or real-money execution surface; sandbox and explicit approval are required",
"Financial research output is not financial advice; require human review before any live investment decision.",
"This skill may touch real-money trading, broker, wallet, or exchange operations; use only in a sandbox with explicit approval.",
"Quality score needs review",
"Stars/forks activity: 203 stars, 16 forks; issue activity unavailable in current metadata"
]
},
"safety_gate": {
"tier": "blocked",
"label": "Blocked for auto-install",
"auto_install_policy": "block",
"auto_install_allowed": false,
"human_review_required": true,
"blocked": true,
"recommended_action": "Do not auto-install. Inspect the source, dependencies, and permission surface first."
},
"quality": {
"score": 67,
"label": "Promising"
},
"supply": {
"track": "Research and knowledge work",
"scenario": "Research agents",
"maintenance": "1mo since push",
"risk": "Risky"
},
"alternative_skills": [],
"do_not_use_when": [
"teams that need a vendor-supported SLA",
"high-compliance environments without internal security review",
"No major risk signals from current metadata",
"Audit risk risky exceeds max_risk=medium",
"Financial research output is not financial advice; require human review before any live investment decision",
"Potential broker, wallet, exchange, or real-money execution surface; sandbox and explicit approval are required",
"Financial research output is not financial advice; require human review before any live investment decision.",
"This skill may touch real-money trading, broker, wallet, or exchange operations; use only in a sandbox with explicit approval."
],
"agent_contract": {
"task_input": "Use fda-catalyst-analysis in an agent workflow",
"recommended_action": "Do not auto-install. Inspect the source, dependencies, and permission surface first.",
"install_policy": "block",
"minimum_review_before_use": [
"Trust: 78/100 Strong shortlist",
"Audit: 79/100 Risky",
"Safety: 59/100 Avoid automatic install",
"Review repository, license, install command, and permission surface before production use."
],
"expected_agent_output": {
"selected_skill": "agentii-ai-fda-catalyst-analysis (fda-catalyst-analysis)",
"install_command": "npx skills add agentii-ai/agentii-investment-intelligence --skill fda-catalyst-analysis",
"risk_summary": "Risky; Blocked for auto-install; Review before production",
"verification_result": "Report the smallest successful task, files touched, warnings, and any missing setup."
}
},
"outcome_feedback": {
"endpoint": "https://www.openagentskill.com/api/agent/outcome",
"method": "POST",
"requires_resolve_event_id": true,
"event_id_source": "Use install_receipt.outcome_feedback.event_id or feedback.event_id returned by /api/agent/resolve for the current task.",
"expected_outcomes": [
"success",
"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": "agentii-ai-fda-catalyst-analysis",
"task": "Use fda-catalyst-analysis 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/agentii-ai-fda-catalyst-analysis",
"api": "https://www.openagentskill.com/api/agent/skills/agentii-ai-fda-catalyst-analysis",
"audit": "https://www.openagentskill.com/skills/agentii-ai-fda-catalyst-analysis/audit",
"eval": "https://www.openagentskill.com/api/agent/evals?slug=agentii-ai-fda-catalyst-analysis&task=Use%20fda-catalyst-analysis%20in%20an%20agent%20workflow&max_risk=medium",
"resolve": "https://www.openagentskill.com/api/agent/resolve?task=Use%20fda-catalyst-analysis%20in%20an%20agent%20workflow&agent=codex&max_risk=medium",
"receipt": "https://www.openagentskill.com/api/agent/receipt?task=Use%20fda-catalyst-analysis%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text",
"install": "https://www.openagentskill.com/api/skills/agentii-ai-fda-catalyst-analysis/install",
"manifest": "https://www.openagentskill.com/api/registry/manifest/agentii-ai-fda-catalyst-analysis"
}
}Für Ersteller
Quelle des Eintrags
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- Ersteller
- agentii-ai
- Indexiert von
- OpenAgentSkill Community-Index
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