{"slug":"dougtrajano-data-analysis","name":"data-analysis","description":"Profile and aggregate a bundled sales dataset - group revenue by region, category, channel or month, apply filters, and compute sums, means, medians and ranges. Use for questions about sales figures, trends, or which segments perform best.","long_description":"---\nname: data-analysis\ndescription: Profile and aggregate a bundled sales dataset - group revenue by region, category, channel or month, apply filters, and compute sums, means, medians and ranges. Use for questions about sales figures, trends, or which segments perform best.\ncompatibility: Standard library only, no network - runs unchanged on the host or inside a sandbox executor\n---\n\n# Data Analysis Skill\n\nAnswers questions about a bundled sales dataset (`resources/sales.csv`): 96 rows\ncovering six months, four regions, four product categories and three sales\nchannels.\n\nThis is the reference skill for exercising sandbox executors. Both scripts are\nstandard library only and read their data from the skill folder, so they do real\nwork with no network, no third-party packages and no host access — exactly the\nshape a sandbox is meant to run.\n\n## When to Use This Skill\n\n- \"Which region had the highest revenue?\" → `aggregate`\n- \"What were average units sold per category?\" → `aggregate`\n- \"How many rows are in the dataset and what does revenue look like?\" → `profile_dataset`\n- \"Compare online versus retail sales in the north\" → `aggregate` with filters\n\n## Skill Scripts\n\n### profile_dataset\n\nReports dataset shape, column names, summary statistics for every numeric column\n(count, sum, mean, median, stdev, min, max) and distinct-value counts for the\ncategorical ones.\n\n- `column` (optional): Profile a single numeric column instead of all of them\n\nExits 2 for an unknown column.\n\n### aggregate\n\nGroups rows and aggregates a numeric column, optionally filtered and truncated.\n\n- `group-by` (required): Column to group by — `month`, `region`, `category`, `channel`\n- `metric` (optional): Numeric column to aggregate, default `revenue`\n- `agg` (optional): `sum` (default), `mean`, `median`, `min`, `max`, `count`\n- `where` (optional, repeatable): Filter as `column=value`, e.g. `region=north`\n- `top` (optional): Keep only the highest N groups\n\nExits 2 for an unknown column or malformed filter, 1 when no rows match.\n\n### Usage Examples\n\n**Revenue by region, highest first:**\n\n- group-by: region\n\n**Top 3 categories by units sold, online only:**\n\n- group-by: category\n- metric: units\n- agg: sum\n- where: channel=online\n- top: 3\n\n**Average revenue per month in the west:**\n\n- group-by: month\n- agg: mean\n- where: region=west\n\n## Data Source\n\n`resources/sales.csv` is generated sample data, included so the skill is\nself-contained and deterministic. It is not real sales data.\n\n## Sandbox Behaviour\n\nBoth scripts produce byte-identical output on the host and under\n`LocalSandboxScriptExecutor` or `OpenSandboxScriptExecutor`, including the\n`../resources/sales.csv` read through the skill root and non-zero exit codes for\nbad arguments. That equivalence is the point: swapping the executor changes where\nthe script runs, not what the model sees.\n","tagline":"Profile and aggregate a bundled sales dataset - group revenue by region, category, channel or month, apply filters, and compute sums, means, medians and ranges. Use for questions about sales figures, trends, or which segments perform best.","category":"data-analysis","tags":["agent-skill"],"author":"DougTrajano","verified":false,"attribution":{"status":"registry_indexed","statusLabel":"Registry indexed","shortLabel":"REGISTRY INDEXED","sourceLabel":"github candidate review","sourceDetail":"DougTrajano/pydantic-ai-skills","creatorName":"DougTrajano","creatorUrl":"https://github.com/DougTrajano","sourceUrl":"https://github.com/DougTrajano/pydantic-ai-skills/tree/main/examples/skills/data-analysis","indexedBy":"OpenAgentSkill community index","claimUrl":"https://www.openagentskill.com/skills/dougtrajano-data-analysis#claim-this-skill","claimCta":"Claim this skill","trustNote":"This listing was indexed from public sources and is not marked official until a maintainer claim is approved.","publicNote":"Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals."},"stats":{"stars":368,"forks":28,"verified_installs":0,"successful_runs":0,"total_outcomes":0,"rating":0,"review_count":0,"quality_score":41.67},"quality":{"score":73,"tier":"strong","label":"Strong","summary":"Solid option that is likely worth shortlisting for production workflows.","signals":[{"label":"GitHub stars","value":"368","tone":"neutral"},{"label":"Freshness","value":"Today","tone":"positive"},{"label":"Install ready","value":"Yes","tone":"positive"},{"label":"License","value":"MIT","tone":"neutral"}],"warnings":[]},"trust":{"version":"trust-score-v5","score":72,"base_score":80,"outcome_confidence":0,"tier":"review","label":"Sandbox only","summary":"Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.","recommendedAction":"Run only in a sandbox and compare close alternatives before using it for real work.","decision":{"install_policy":"sandbox_only","auto_install_allowed":false,"human_review_required":true,"sandbox_first":true,"agent_action":"Compare alternatives before installing.","reasoning":["72/100 Trust Score v5","80/100 Trust Score v4 baseline","Needs more real agent outcomes before unattended install","Install path is available","Review before production"],"review_required_when":["The workspace contains production secrets, payments, private customer data, or irreversible actions.","The install command requests shell, network, credential, database, or broad filesystem access.","Outcome evidence is missing, recently failed, or required human review.","Production credentials, payments, or irreversible account changes without explicit human review","Sensitive private data before reviewing repository code, license, and permission surface","Automatic installation in a production workspace"]},"dimensions":[{"id":"github_adoption","label":"GitHub adoption","score":62,"weight":0.13,"status":"info","detail":"368 GitHub stars"},{"id":"repo_activity","label":"Stars/forks activity","score":57,"weight":0.08,"status":"warn","detail":"368 stars, 28 forks; 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use only in a sandbox with explicit approval.","Quality score needs review","Stars/forks activity: 368 stars, 28 forks; issue activity unavailable in current metadata"],"backward_compatible":{"trust_score_v4":{"version":"trust-score-v4","score":80,"tier":"strong","label":"Strong shortlist","summary":"Good trust signals with a few areas worth checking before rollout."}}},"trust_score_v5":{"version":"trust-score-v5","score":72,"base_score":80,"outcome_confidence":0,"tier":"review","label":"Sandbox only","summary":"Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.","recommendedAction":"Run only in a sandbox and compare close alternatives before using it for real work.","decision":{"install_policy":"sandbox_only","auto_install_allowed":false,"human_review_required":true,"sandbox_first":true,"agent_action":"Compare alternatives before installing.","reasoning":["72/100 Trust Score v5","80/100 Trust Score v4 baseline","Needs more real agent outcomes before unattended install","Install path is available","Review before production"],"review_required_when":["The workspace contains production secrets, payments, private customer data, or irreversible actions.","The install command requests shell, network, credential, database, or broad filesystem access.","Outcome evidence is missing, recently failed, or required human review.","Production credentials, payments, or irreversible account changes without explicit human review","Sensitive private data before reviewing repository code, license, and permission surface","Automatic installation in a production workspace"]},"dimensions":[{"id":"github_adoption","label":"GitHub adoption","score":62,"weight":0.13,"status":"info","detail":"368 GitHub stars"},{"id":"repo_activity","label":"Stars/forks activity","score":57,"weight":0.08,"status":"warn","detail":"368 stars, 28 forks; 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use only in a sandbox with explicit approval.","Quality score needs review","Stars/forks activity: 368 stars, 28 forks; issue activity unavailable in current metadata","No real agent outcome reports yet","Human review required before unattended installation"],"evidence":{"stars":"368 GitHub stars","repoActivity":"368 stars, 28 forks","lastPushed":"Pushed today","license":"MIT","repository":"https://github.com/DougTrajano/pydantic-ai-skills/tree/main/examples/skills/data-analysis","install":"npx skills add DougTrajano/pydantic-ai-skills --skill data-analysis","installSafety":"standard package or runtime install path","permissionSurface":"filesystem or document access, network or browser access","documentation":"Strong README/SKILL.md context","agentOutcomes":"No agent outcome data yet","agentProvenScore":0,"outcomeConfidence":"0%","installPolicy":"sandbox_only"},"installReadiness":{"ready":true,"command":"npx skills add DougTrajano/pydantic-ai-skills --skill data-analysis","policy":"sandbox_only","label":"Sandbox only","notes":["Install path is available","Repository evidence is available","License is declared","No Agent Proven outcome evidence yet","Pushed today","Trust Score v5 requires review or sandbox-only use before install."]},"agentCompatibility":["Codex","Claude Code","Cursor","OpenAgentSkill CLI"],"riskSummary":{"level":"medium","label":"Review before production","notes":["This skill may touch real-money trading, broker, wallet, or exchange operations; 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use only in a sandbox with explicit approval.","Quality score needs review","Stars/forks activity: 368 stars, 28 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"]},"outcome_stats":null,"safety":{"score":67,"level":"avoid_auto_install","label":"Avoid automatic install","safety_tier":{"tier":"blocked","label":"Blocked for auto-install","badge":"BLOCKED","summary":"This skill should not be selected by an agent without explicit human security review.","recommended_action":"Do not auto-install. Inspect the source, dependencies, and permission surface first.","auto_install_policy":"block","reasons":["Audit risk exceeds the requested agent policy","Audit classified this skill as risky","Audit risk risky exceeds max_risk=medium"]},"auto_install_allowed":false,"human_review_required":true,"blocked":true,"audit_risk":"risky","permission_hints":[{"id":"network","label":"Network access","reason":"Skill likely fetches remote pages, APIs, repositories, or external services.","severity":"medium"},{"id":"filesystem","label":"Filesystem access","reason":"Skill may read or write project files, documents, generated artifacts, or local workspace state.","severity":"medium"}],"policy_warnings":["Audit risk risky exceeds max_risk=medium","Potential broker, wallet, exchange, or real-money execution surface; sandbox and explicit approval are required"],"constraints_applied":{"max_risk":"medium","needs_install_command":true,"min_stars":0}},"safety_gate":{"tier":"blocked","label":"Blocked for auto-install","badge":"BLOCKED","auto_install_policy":"block","auto_install_allowed":false,"blocked":true,"human_review_required":true,"recommended_action":"Do not auto-install. Inspect the source, dependencies, and permission surface first.","reasons":["Audit risk exceeds the requested agent policy","Audit classified this skill as risky","Audit risk risky exceeds max_risk=medium"]},"eval":{"version":"openagentskill-skill-eval-v1","status":"failed","score":77,"risk_level":"high","decision":{"recommendation":"do_not_auto_install","reason":"Audit score: Risky","auto_install_allowed":false,"policy":"block","human_review_required":true},"blockers":["Audit score: Risky","Agent safety gate: This skill should not be selected by an agent without explicit human security review."],"warnings":["Trust score: Good trust signals with a few areas worth checking before rollout.","Permission surface: filesystem or document access, network or browser access","Audit risk risky exceeds max_risk=medium","Potential broker, wallet, exchange, or real-money execution surface; sandbox and explicit approval are required","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: 368 stars, 28 forks; issue activity unavailable in current metadata"],"validation_plan":["Inspect repository, README/SKILL.md, license, and recent commits before production use.","Install in an isolated workspace or sandbox with no production secrets available.","Run the smallest representative task and record files touched, commands run, network access, and outputs.","Compare the selected skill against at least one alternative when the eval status is review or failed.","Promote only after the agent reports a successful verification result and unresolved warnings are accepted."],"checks":[{"id":"task_fit","label":"Task fit","status":"pass","score":84,"required_for_auto_install":true,"detail":"Task wording matches this skill metadata.","evidence":["Evaluate data-analysis before installing it in an agent workflow","data-analysis","Research agents workflows; Claude Code teams; builders willing to evaluate younger projects"]},{"id":"install_path","label":"Install path","status":"pass","score":92,"required_for_auto_install":true,"detail":"Install handoff is available.","evidence":["npx skills add DougTrajano/pydantic-ai-skills --skill data-analysis"]},{"id":"install_safety","label":"Install command safety","status":"pass","score":92,"required_for_auto_install":true,"detail":"standard package or runtime install path","evidence":["npx skills add DougTrajano/pydantic-ai-skills --skill data-analysis"]},{"id":"trust_score","label":"Trust score","status":"warn","score":80,"required_for_auto_install":true,"detail":"Good trust signals with a few areas worth checking before rollout.","evidence":["Strong shortlist","368 GitHub stars","MIT"]},{"id":"audit_score","label":"Audit score","status":"fail","score":83,"required_for_auto_install":true,"detail":"Risky","evidence":["Potential broker, wallet, exchange, or real-money execution surface; sandbox and explicit approval are required"]},{"id":"agent_safety_gate","label":"Agent safety gate","status":"fail","score":67,"required_for_auto_install":true,"detail":"This skill should not be selected by an agent without explicit human security review.","evidence":["Do not auto-install. Inspect the source, dependencies, and permission surface first.","Audit risk exceeds the requested agent policy"]},{"id":"readme_skillmd_completeness","label":"README/SKILL.md completeness","status":"pass","score":86,"required_for_auto_install":false,"detail":"Metadata includes enough usage and workflow context","evidence":["Strong README/SKILL.md context"]},{"id":"license_clarity","label":"License clarity","status":"pass","score":86,"required_for_auto_install":true,"detail":"MIT","evidence":["MIT"]},{"id":"recent_maintenance","label":"Recent maintenance","status":"pass","score":100,"required_for_auto_install":false,"detail":"Pushed today","evidence":["Pushed today"]},{"id":"permission_surface","label":"Permission surface","status":"warn","score":72,"required_for_auto_install":true,"detail":"filesystem or document access, network or browser access","evidence":["Network access: medium","Filesystem access: medium"]},{"id":"alternatives","label":"Alternatives available","status":"info","score":55,"required_for_auto_install":false,"detail":"No close alternatives were found in the current shortlist.","evidence":[]}],"endpoints":{"web":"https://www.openagentskill.com/skills/dougtrajano-data-analysis/evals","api":"/api/agent/evals?slug=dougtrajano-data-analysis","text":"/api/agent/evals?slug=dougtrajano-data-analysis&format=text"}},"agent_readable_metadata":{"version":"openagentskill-agent-metadata-v2","skill":{"slug":"dougtrajano-data-analysis","name":"data-analysis","description":"Profile and aggregate a bundled sales dataset - group revenue by region, category, channel or month, apply filters, and compute sums, means, medians and ranges. Use for questions about sales figures, trends, or which segments perform best.","category":"data-analysis","url":"https://www.openagentskill.com/skills/dougtrajano-data-analysis","repository":"https://github.com/DougTrajano/pydantic-ai-skills/tree/main/examples/skills/data-analysis","github_repo":"DougTrajano/pydantic-ai-skills"},"suited_tasks":["Research agents workflows","Claude Code teams","builders willing to evaluate younger projects","Search sources","Extract claims","Synthesize findings","Load tabular data","Calculate trends"],"suited_agents":["Codex","Claude Code","Cursor","OpenAgentSkill CLI","CLI"],"install":{"command":"npx skills add DougTrajano/pydantic-ai-skills --skill data-analysis","ready":true,"targets":[{"id":"openagentskill-cli","label":"CLI","kind":"command","value":"npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.3.0/openagentskill-0.3.0.tgz add dougtrajano-data-analysis"},{"id":"codex","label":"Codex","kind":"agent-prompt","value":"Install the \"data-analysis\" agent skill from https://github.com/DougTrajano/pydantic-ai-skills/tree/main/examples/skills/data-analysis. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Profile and aggregate a bundled sales dataset - group revenue by region, category, channel or month, apply filters, and compute sums, means, medians and ranges. Use for questions about sales figures, trends, or which segments perform best. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"dougtrajano-data-analysis\",\"task\":\"Install data-analysis\",\"agent\":\"codex\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes."},{"id":"claude-code","label":"Claude Code","kind":"agent-prompt","value":"Add \"data-analysis\" as a Claude Code skill from https://github.com/DougTrajano/pydantic-ai-skills/tree/main/examples/skills/data-analysis. Inspect the skill instructions, place the reusable skill files in the appropriate local skills location for this project, and report the activation steps. Skill purpose: Profile and aggregate a bundled sales dataset - group revenue by region, category, channel or month, apply filters, and compute sums, means, medians and ranges. Use for questions about sales figures, trends, or which segments perform best. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"dougtrajano-data-analysis\",\"task\":\"Install data-analysis\",\"agent\":\"claude-code\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes."},{"id":"cursor","label":"Cursor","kind":"agent-prompt","value":"Turn \"data-analysis\" from https://github.com/DougTrajano/pydantic-ai-skills/tree/main/examples/skills/data-analysis into a reusable Cursor project rule or agent instruction. Preserve the core workflow, adapt paths to this repo, and keep the rule scoped to tasks where it is relevant. Skill purpose: Profile and aggregate a bundled sales dataset - group revenue by region, category, channel or month, apply filters, and compute sums, means, medians and ranges. Use for questions about sales figures, trends, or which segments perform best. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"dougtrajano-data-analysis\",\"task\":\"Install data-analysis\",\"agent\":\"cursor\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes."}],"handoff_url":"https://www.openagentskill.com/api/skills/dougtrajano-data-analysis/install","manifest_url":"https://www.openagentskill.com/api/registry/manifest/dougtrajano-data-analysis"},"trust":{"score":80,"label":"Strong shortlist","version":"trust-score-v4","install_policy":"sandbox_only","evidence":{"stars":"368 GitHub stars","repoActivity":"368 stars, 28 forks","lastPushed":"Pushed today","license":"MIT","repository":"https://github.com/DougTrajano/pydantic-ai-skills/tree/main/examples/skills/data-analysis","install":"npx skills add DougTrajano/pydantic-ai-skills --skill data-analysis","installSafety":"standard package or runtime install path","permissionSurface":"filesystem or document access, network or browser access","documentation":"Strong README/SKILL.md context","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,"install_success_rate":null,"risk_blocked":0,"setup_required":0,"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":"Human review or sandbox validation is required before automatic installation."},"best_for":["data-analysis","agent-skill"],"known_risks":["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: 368 stars, 28 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":83,"risk_level":"risky","risk_label":"Risky","warnings":["Potential broker, wallet, exchange, or real-money execution surface; sandbox and explicit approval are required","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: 368 stars, 28 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":73,"label":"Strong"},"supply":{"track":"Data, BI, and analytics","scenario":"Data analysis","maintenance":"Pushed today","risk":"Risky"},"alternative_skills":[],"do_not_use_when":["teams that need a vendor-supported SLA","high-compliance environments without internal security review","No OpenAgentSkill engagement data yet","Audit risk risky exceeds max_risk=medium","Potential broker, wallet, exchange, or real-money execution surface; sandbox and explicit approval are required","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: 368 stars, 28 forks; issue activity unavailable in current metadata"],"agent_contract":{"task_input":"Use data-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: 80/100 Strong shortlist","Audit: 83/100 Risky","Safety: 67/100 Avoid automatic install","Review repository, license, install command, and permission surface before production use."],"expected_agent_output":{"selected_skill":"dougtrajano-data-analysis (data-analysis)","install_command":"npx skills add DougTrajano/pydantic-ai-skills --skill data-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":"dougtrajano-data-analysis","task":"Use data-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/dougtrajano-data-analysis","api":"https://www.openagentskill.com/api/agent/skills/dougtrajano-data-analysis","audit":"https://www.openagentskill.com/skills/dougtrajano-data-analysis/audit","eval":"https://www.openagentskill.com/api/agent/evals?slug=dougtrajano-data-analysis&task=Use%20data-analysis%20in%20an%20agent%20workflow&max_risk=medium","resolve":"https://www.openagentskill.com/api/agent/resolve?task=Use%20data-analysis%20in%20an%20agent%20workflow&agent=codex&max_risk=medium","receipt":"https://www.openagentskill.com/api/agent/receipt?task=Use%20data-analysis%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text","install":"https://www.openagentskill.com/api/skills/dougtrajano-data-analysis/install","manifest":"https://www.openagentskill.com/api/registry/manifest/dougtrajano-data-analysis"}},"machine_metadata":{"version":"openagentskill-agent-metadata-v2","skill":{"slug":"dougtrajano-data-analysis","name":"data-analysis","description":"Profile and aggregate a bundled sales dataset - group revenue by region, category, channel or month, apply filters, and compute sums, means, medians and ranges. Use for questions about sales figures, trends, or which segments perform best.","category":"data-analysis","url":"https://www.openagentskill.com/skills/dougtrajano-data-analysis","repository":"https://github.com/DougTrajano/pydantic-ai-skills/tree/main/examples/skills/data-analysis","github_repo":"DougTrajano/pydantic-ai-skills"},"suited_tasks":["Research agents workflows","Claude Code teams","builders willing to evaluate younger projects","Search sources","Extract claims","Synthesize findings","Load tabular data","Calculate trends"],"suited_agents":["Codex","Claude Code","Cursor","OpenAgentSkill CLI","CLI"],"install":{"command":"npx skills add DougTrajano/pydantic-ai-skills --skill data-analysis","ready":true,"targets":[{"id":"openagentskill-cli","label":"CLI","kind":"command","value":"npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.3.0/openagentskill-0.3.0.tgz add dougtrajano-data-analysis"},{"id":"codex","label":"Codex","kind":"agent-prompt","value":"Install the \"data-analysis\" agent skill from https://github.com/DougTrajano/pydantic-ai-skills/tree/main/examples/skills/data-analysis. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Profile and aggregate a bundled sales dataset - group revenue by region, category, channel or month, apply filters, and compute sums, means, medians and ranges. Use for questions about sales figures, trends, or which segments perform best. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"dougtrajano-data-analysis\",\"task\":\"Install data-analysis\",\"agent\":\"codex\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes."},{"id":"claude-code","label":"Claude Code","kind":"agent-prompt","value":"Add \"data-analysis\" as a Claude Code skill from https://github.com/DougTrajano/pydantic-ai-skills/tree/main/examples/skills/data-analysis. Inspect the skill instructions, place the reusable skill files in the appropriate local skills location for this project, and report the activation steps. Skill purpose: Profile and aggregate a bundled sales dataset - group revenue by region, category, channel or month, apply filters, and compute sums, means, medians and ranges. Use for questions about sales figures, trends, or which segments perform best. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"dougtrajano-data-analysis\",\"task\":\"Install data-analysis\",\"agent\":\"claude-code\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes."},{"id":"cursor","label":"Cursor","kind":"agent-prompt","value":"Turn \"data-analysis\" from https://github.com/DougTrajano/pydantic-ai-skills/tree/main/examples/skills/data-analysis into a reusable Cursor project rule or agent instruction. Preserve the core workflow, adapt paths to this repo, and keep the rule scoped to tasks where it is relevant. Skill purpose: Profile and aggregate a bundled sales dataset - group revenue by region, category, channel or month, apply filters, and compute sums, means, medians and ranges. Use for questions about sales figures, trends, or which segments perform best. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"dougtrajano-data-analysis\",\"task\":\"Install data-analysis\",\"agent\":\"cursor\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes."}],"handoff_url":"https://www.openagentskill.com/api/skills/dougtrajano-data-analysis/install","manifest_url":"https://www.openagentskill.com/api/registry/manifest/dougtrajano-data-analysis"},"trust":{"score":80,"label":"Strong shortlist","version":"trust-score-v4","install_policy":"sandbox_only","evidence":{"stars":"368 GitHub stars","repoActivity":"368 stars, 28 forks","lastPushed":"Pushed today","license":"MIT","repository":"https://github.com/DougTrajano/pydantic-ai-skills/tree/main/examples/skills/data-analysis","install":"npx skills add DougTrajano/pydantic-ai-skills --skill data-analysis","installSafety":"standard package or runtime install path","permissionSurface":"filesystem or document access, network or browser access","documentation":"Strong README/SKILL.md context","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,"install_success_rate":null,"risk_blocked":0,"setup_required":0,"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":"Human review or sandbox validation is required before automatic installation."},"best_for":["data-analysis","agent-skill"],"known_risks":["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: 368 stars, 28 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":83,"risk_level":"risky","risk_label":"Risky","warnings":["Potential broker, wallet, exchange, or real-money execution surface; sandbox and explicit approval are required","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: 368 stars, 28 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":73,"label":"Strong"},"supply":{"track":"Data, BI, and analytics","scenario":"Data analysis","maintenance":"Pushed today","risk":"Risky"},"alternative_skills":[],"do_not_use_when":["teams that need a vendor-supported SLA","high-compliance environments without internal security review","No OpenAgentSkill engagement data yet","Audit risk risky exceeds max_risk=medium","Potential broker, wallet, exchange, or real-money execution surface; sandbox and explicit approval are required","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: 368 stars, 28 forks; issue activity unavailable in current metadata"],"agent_contract":{"task_input":"Use data-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: 80/100 Strong shortlist","Audit: 83/100 Risky","Safety: 67/100 Avoid automatic install","Review repository, license, install command, and permission surface before production use."],"expected_agent_output":{"selected_skill":"dougtrajano-data-analysis (data-analysis)","install_command":"npx skills add DougTrajano/pydantic-ai-skills --skill data-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":"dougtrajano-data-analysis","task":"Use data-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/dougtrajano-data-analysis","api":"https://www.openagentskill.com/api/agent/skills/dougtrajano-data-analysis","audit":"https://www.openagentskill.com/skills/dougtrajano-data-analysis/audit","eval":"https://www.openagentskill.com/api/agent/evals?slug=dougtrajano-data-analysis&task=Use%20data-analysis%20in%20an%20agent%20workflow&max_risk=medium","resolve":"https://www.openagentskill.com/api/agent/resolve?task=Use%20data-analysis%20in%20an%20agent%20workflow&agent=codex&max_risk=medium","receipt":"https://www.openagentskill.com/api/agent/receipt?task=Use%20data-analysis%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text","install":"https://www.openagentskill.com/api/skills/dougtrajano-data-analysis/install","manifest":"https://www.openagentskill.com/api/registry/manifest/dougtrajano-data-analysis"}},"supply_profile":{"track":{"slug":"data","label":"Data, BI, and analytics","shortLabel":"Data","description":"CSV, SQL, notebooks, dashboards, data pipelines, BI, ETL, and spreadsheet analysis."},"scenario":{"label":"Data analysis","description":"I need my agent to analyze CSV data, produce insights, and explain trends.","useCases":[{"slug":"research-agents","title":"Research agents"},{"slug":"data-analysis","title":"Data analysis"},{"slug":"local-desktop","title":"Local desktop"}]},"applicableAgents":["Claude Code","CLI","Codex","Cursor"],"install":{"ready":true,"command":"npx skills add DougTrajano/pydantic-ai-skills --skill data-analysis","primaryTarget":"CLI","targetCount":4},"githubQuality":{"stars":368,"starsLabel":"368","forks":28,"license":"MIT","qualityScore":73,"trustScore":80,"auditScore":83},"maintenance":{"status":"fresh","label":"Pushed today","daysSincePush":0,"lastPushedAt":"2026-09-05T14:36:37+00:00"},"risk":{"level":"risky","label":"Risky","requiresReview":true,"notes":["Potential broker, wallet, exchange, or real-money execution surface; sandbox and explicit approval are required","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: 368 stars, 28 forks; issue activity unavailable in current metadata","Risky"]},"coverageTags":["Data","Data analysis","data-analysis","agent-skill"]},"audit":{"audit_score":83,"risk_level":"risky","risk_label":"Risky","quality_score":73,"trust_score":80,"maintenance_score":100,"security_score":86,"install_score":92,"warnings":["Potential broker, wallet, exchange, or real-money execution surface; sandbox and explicit approval are required","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: 368 stars, 28 forks; issue activity unavailable in current metadata"]},"quality_signals":{"model":"v2","star_score":17.97,"usage_score":0,"review_score":5.7,"metadata_score":3,"freshness_score":15},"platforms":["Claude Code"],"use_cases":[{"slug":"research-agents","title":"Research agents","url":"https://www.openagentskill.com/use-cases/research-agents"},{"slug":"data-analysis","title":"Data analysis","url":"https://www.openagentskill.com/use-cases/data-analysis"},{"slug":"local-desktop","title":"Local desktop","url":"https://www.openagentskill.com/use-cases/local-desktop"},{"slug":"browser-automation","title":"Browser automation","url":"https://www.openagentskill.com/use-cases/browser-automation"}],"stacks":[{"slug":"research-report-agent","title":"Research report agent","url":"https://www.openagentskill.com/collections/research-report-agent"},{"slug":"browser-qa-agent","title":"Browser QA agent","url":"https://www.openagentskill.com/collections/browser-qa-agent"},{"slug":"content-growth-agent","title":"Content growth agent","url":"https://www.openagentskill.com/collections/content-growth-agent"}],"install":"npx skills add DougTrajano/pydantic-ai-skills --skill data-analysis","install_targets":[{"id":"openagentskill-cli","label":"CLI","title":"OpenAgentSkill CLI","kind":"command","value":"npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.3.0/openagentskill-0.3.0.tgz add dougtrajano-data-analysis","description":"Resolve policy, run the source installer safely, and report a verified install receipt.","copyLabel":"Copy command"},{"id":"codex","label":"Codex","title":"Codex install prompt","kind":"agent-prompt","value":"Install the \"data-analysis\" agent skill from https://github.com/DougTrajano/pydantic-ai-skills/tree/main/examples/skills/data-analysis. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Profile and aggregate a bundled sales dataset - group revenue by region, category, channel or month, apply filters, and compute sums, means, medians and ranges. Use for questions about sales figures, trends, or which segments perform best. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"dougtrajano-data-analysis\",\"task\":\"Install data-analysis\",\"agent\":\"codex\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.","description":"Give Codex a repo-aware install prompt when the skill is not available through a local CLI.","copyLabel":"Copy prompt"},{"id":"claude-code","label":"Claude Code","title":"Claude Code skill prompt","kind":"agent-prompt","value":"Add \"data-analysis\" as a Claude Code skill from https://github.com/DougTrajano/pydantic-ai-skills/tree/main/examples/skills/data-analysis. Inspect the skill instructions, place the reusable skill files in the appropriate local skills location for this project, and report the activation steps. Skill purpose: Profile and aggregate a bundled sales dataset - group revenue by region, category, channel or month, apply filters, and compute sums, means, medians and ranges. Use for questions about sales figures, trends, or which segments perform best. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"dougtrajano-data-analysis\",\"task\":\"Install data-analysis\",\"agent\":\"claude-code\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.","description":"Use this prompt to ask Claude Code to add the skill and explain the local activation steps.","copyLabel":"Copy prompt"},{"id":"cursor","label":"Cursor","title":"Cursor rule prompt","kind":"agent-prompt","value":"Turn \"data-analysis\" from https://github.com/DougTrajano/pydantic-ai-skills/tree/main/examples/skills/data-analysis into a reusable Cursor project rule or agent instruction. Preserve the core workflow, adapt paths to this repo, and keep the rule scoped to tasks where it is relevant. Skill purpose: Profile and aggregate a bundled sales dataset - group revenue by region, category, channel or month, apply filters, and compute sums, means, medians and ranges. Use for questions about sales figures, trends, or which segments perform best. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"dougtrajano-data-analysis\",\"task\":\"Install data-analysis\",\"agent\":\"cursor\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.","description":"Use this when installing as Cursor project rules or reusable agent instructions.","copyLabel":"Copy prompt"}],"repository":"https://github.com/DougTrajano/pydantic-ai-skills/tree/main/examples/skills/data-analysis","github_repo":"DougTrajano/pydantic-ai-skills","version":"1.0.0","license":"MIT","urls":{"web":"https://www.openagentskill.com/skills/dougtrajano-data-analysis","repository":"https://github.com/DougTrajano/pydantic-ai-skills/tree/main/examples/skills/data-analysis","api":"/api/agent/skills/dougtrajano-data-analysis","install_api":"/api/skills/dougtrajano-data-analysis/install"},"meta":{"created_at":"2026-09-05T20:26:31.939246+00:00","updated_at":"2026-09-05T20:26:32.115939+00:00","agent_friendly":true}}