{"slug":"kennethkhoocy-event-study-cars","name":"event-study-cars","description":">-","long_description":"---\nname: event-study-cars\ndescription: >-\n  Complete methodology for computing publication-quality cumulative abnormal returns with\n  proper event-study test statistics, matching the robustness of Kaspereit's eventstudy2 for\n  Stata. Covers dateline construction, event-date mapping, estimation and event windows,\n  thin-trading adjustment, OLS with Theil prediction error correction, abnormal return\n  computation, CAR/CAAR/AAR accumulation, boundary contamination guards, and common tests such\n  as Patell, BMP, Kolari-Pynnonen, generalized sign, Wilcoxon, and GRANK-T. Use when the user\n  mentions abnormal returns, event windows, market-model regressions, CARs, CAAR, AAR,\n  eventstudy2, thin trading, trade-to-trade returns, or event-study test statistics.\n---\n\n# Event Study: Cumulative Abnormal Returns (CARs)\n\nA complete methodology reference for computing publication-quality CARs with\nrobust test statistics, matching the rigor of Kaspereit's eventstudy2 (v3.2b)\nfor Stata. This skill is **generic** — applicable to any market, asset class,\nor event type.\n\n## Use the shipped engine first (do not rewrite it)\n\n`scripts/eventstudy.py` is a complete, runnable Python replication of\neventstudy2, validated against the Stata package to floating-point precision\n(AR ~1e-8, CAR ~6e-8, CAAR and the implemented test statistics ~1e-7) on a\ngeneric CRSP sample across all four models (FM, COMEAN, MA, RAW). It is generic —\nall column names, the model, windows, thin-trading, and log handling are CLI\nflags. When a user wants CARs computed, **run this engine**; do not author a new\npipeline.\n\n```bash\npython scripts/eventstudy.py --selftest          # synthetic self-check, no inputs\npython scripts/eventstudy.py \\\n    --returns returns.csv --market market.csv --events events.csv \\\n    --id-col permno --ret-col ret --event-date-col event_date --mkt-col vwretd \\\n    --model FM --car-windows \"-1,1;-5,5;-10,10\" \\\n    --eswlb -250 --eswub -30 --evwlb -10 --evwub 10 --out-dir out/\n```\n\nInputs are CSV/Parquet: returns (`id, date, ret`), market/factors\n(`date, mkt[, factors]`), events (`id, event_date`). Outputs: `ar_panel.csv`,\n`car_panel.csv`, `test_statistics.csv`. Requires numpy/pandas/scipy. Run\n`--help` for all flags (`--factor-cols smb,hml`, `--model MA`,\n`--no-thin-trading`, ...). The sections below document the methodology the engine\nimplements; read them to audit, extend, or port it.\n\n## Methodology Overview: The 8-Step Pipeline\n\n### Step 1: Build Trading Calendar (Dateline)\n\nConstruct a master list of valid trading dates from the security returns file.\n\n1. Collect all unique dates on which at least one security has a non-missing\n   return (or, if using a factor model, dates where market/factor returns exist).\n2. Count the number of securities with valid returns on each date.\n3. Optionally drop weekends (`delweekend`).\n4. Apply `dateline_threshold`: drop dates where the count of return\n   observations falls below `threshold × mean(daily_count)`. A threshold of\n   0.2 works well for international samples with heterogeneous holidays.\n5. The resulting date vector is the **dateline** — all downstream windows are\n   defined in dateline time (relative trading days), not calendar time.\n\n### Step 2: Map Event Dates to Nearest Valid Trading Day\n\nFor each event:\n1. Find the nearest dateline date **on or after** the event date.\n2. If the shift exceeds `max_shift` calendar days (default: 3), **exclude**\n   the event entirely — do not silently map it to a distant trading day.\n3. Events with missing dates, or dates outside the dateline range, are also\n   excluded and logged with the reason.\n\n### Step 3: Construct Estimation and Event Windows\n\nFor each firm-event pair, define windows in **relative trading time** (offsets\nfrom the event day on the dateline):\n\n- **Estimation window**: `[esw_lb, esw_ub]` — default `[-250, -30]`.\n- **Event window**: `[evw_lb, evw_ub]` — determined by the widest CAR window\n  requested.\n- Enforce a **gap** between the estimation and event windows to prevent event\n  contamination of the benchmark model.\n\n**Exclusion checks** (per firm-event):\n- Insufficient estimation-window observations (fewer than `min_esw_obs`,\n  default 120).\n- Insufficient event-window observations.\n- **IPO/delisting guard**: if the stock's first observed return date falls\n  after `evw_lb` or last observed return date falls before `evw_ub`, exclude\n  the firm-event. These are survivorship-biased observations.\n\n### Step 4: Apply Thin-Trading Adjustment\n\nFor markets with non-trivially thin trading (most markets outside US\nmega-caps), apply the Maynes-Rumsey (1993) trade-to-trade transformation\n**by default**.\n\n> Read `references/thin_trading.md` for the complete transformation, including\n> the `cum_periods` construction, the regression specification with `nocons`,\n> and the boundary contamination guard.\n\n**Summary**: Non-trading days accumulate into the next trading day's return.\nAll variables (returns, factors, intercept) are divided by `sqrt(cum_periods)`.\nOLS is run with `nocons` because the intercept regressor `1/sqrt(d)` replaces\nthe standard constant. This is a GLS correction for the heteroscedasticity\nintroduced by multi-period returns.\n\n### Step 5: Run OLS and Compute STDF\n\nFor each firm-event pair, estimate the benchmark model over the estimation\nwindow and compute the **standard deviation of forecast** (STDF) for every\nobservation (estimation + event window).\n\n> Read `references/estimation_models.md` for model specifications (RAW,\n> COMEAN, MA, FM, BHAR).\n\n**STDF** (Theil 1971 prediction error correction):\n\nFor each observation t, the forecast standard deviation is:\n\n    STDF_it = sigma_hat_i * sqrt(1 + x'_t (X'X)^{-1} x_t)\n\nwhere `x_t` is the regressor vector at time t, `X` is the estimation-window\ndesign matrix, and `sigma_hat_i = sqrt(SSR / (T_i - 2 - df))` is the OLS\nresidual standard deviation. `df` is the number of additional factors beyond\nthe market (0 for market model, 2 for FF3, etc.).\n\nThe STDF accounts for both the inherent noise in returns (sigma) and the\nestimation uncertainty in the model coefficients (which grows when event-window\nfactor values are far from estimation-window means).\n\n**Python**: after `numpy.linalg.lstsq`, compute the hat matrix\n`H = X @ inv(X'X) @ X'` and `h_t = x'_t @ inv(X'X) @ x_t` for each\nevent-window observation. Then `STDF_t = sigma_hat * sqrt(1 + h_t)`.\n\n### Step 6: Compute Abnormal Returns\n\n    AR_it = R_it - predicted_it\n\nwhere `predicted_it` comes from the estimated benchmark model applied to\nevent-window factor values.\n\n**Critical rule**: do NOT zero-fill missing event-window returns. A missing\nreturn means the stock did not trade — setting it to zero biases CARs toward\nzero for illiquid stocks. Leave it as NaN and let the accumulation step handle\nthe count of valid ARs.\n\n### Step 7: Accumulate CARs\n\nFor each requested CAR window `[lb, ub]` and each firm-event:\n\n    CAR_i = sum of AR_it for t in [lb, ub] where AR_it is not NaN\n\n**Boundary contamination guard** (from eventstudy2):\n- If the **first** day of the CAR window has `cum_periods > 1`, the return on\n  that day spans back before the window start. Set CAR = NaN.\n- If the **last** day of the CAR window has a missing AR, the firm-event\n  lacks coverage at the window boundary. Set CAR = NaN.\n- For AAR (day-by-day) output: any day with `cum_periods > 1` has its AR set\n  to NaN (the multi-period return cannot be attributed to a single day).\n\nTrack `n_valid_ar` per CAR: the count of non-NaN ARs in the window. A valid\nCAR should have `n_valid_ar == window_length`. CARs with fewer valid days\nshould be flagged or excluded depending on the analysis.\n\n### Step 8: Compute Test Statistics\n\nCompute at minimum: **Patell (1976)**, **BMP (Boehmer et al. 1991)**,\n**Kolari-Pynnonen adjusted BMP**, and the **generalized sign test (Cowan\n1992)**. For maximum rigor, compute all 13 tests.\n\n> Read `references/test_statistics.md` for exact formulas, null hypotheses,\n> distributions, and Python implementation notes for all 13 tests.\n\n> Read `references/kolari_pynnonen.md` for the cross-correlation adjustment\n> procedure (ADJ factor) and the GRANK-T test.\n\nTest statistics are reported at two levels:\n- **AAR level**: one test statistic per event day (tests whether the average\n  AR across firms is significantly different from zero on that day).\n- **CAAR level**: one test statistic per CAR window (tests whether the\n  cumulative average AR is significantly different from zero over the window).\n\n---\n\n## Model Selection\n\n> Read `references/estimation_models.md` for full mathematical specifications.\n\n| Model | When to Use |\n|-------|-------------|\n| **RAW** | Baseline/diagnostic only. No benchmark subtracted. |\n| **COMEAN** | Simplest parametric benchmark (constant mean return). |\n| **MA** (market-adjusted) | When factor data is unavailable. Subtracts market return directly. |\n| **FM** (factor model) | Standard choice for short-window event studies. Market model (1 factor) or FF3/FF5/Carhart (multi-factor). |\n| **BHAR** | Long-horizon event studies (months/years). Requires skewness-adjusted bootstrap (Lyon et al. 1999). |\n\nDefault: **FM with market model** (1 factor) for short-window studies.\n\n---\n\n## Critical Rules\n\n1. **NEVER** replace missing event-window returns with zero. This biases CARs\n   toward zero for illiquid stocks. The only exception is BHAR models, which\n   assume continuous holding.\n\n2. **NEVER** compute CARs when the stock's first/last trading date falls\n   inside the event window (IPO/delisting bias).\n\n3. **NEVER** sum CARs when a boundary day has `cum_periods > 1` — the return\n   spans outside the intended window.\n\n4. **NEVER** run OLS with a standard constant when using the trade-to-trade\n   transformation. Use `nocons` with `1/sqrt(cum_periods)` as the intercept\n   regressor.\n\n5. **NEVER** report CARs without at least one parametric and one\n   non-parametric test statistic.\n\n6. **NEVER** mix log and simple returns between the LHS and RHS of the market\n   model. If stock returns are in logs, factor returns must also be in logs\n   (or convert both via `ln(1+R)` before estimation). Jensen's inequality\n   creates bias otherwise.\n\n---\n\n## Output Contract\n\nA valid CAR output dataset must contain:\n\n**Identifiers** (column names vary by project):\n- `firm_id`, `event_id`, `event_date`\n\n**Estimation diagnostics** (per firm-event, per model):\n- `alpha`, `beta` (per factor), `nobs`, `r2`, `sigma_hat`\n\n**Per CAR window per model**:\n- `car_value` — NaN if invalid\n- `n_valid_ar` — count of non-NaN ARs in the window\n\n**Exclusion reason** (per firm-event):\n- `insufficient_est_obs`, `insufficient_evt_obs`, `ipo_in_window`,\n  `delisting_in_window`, `event_off_dateline`, `boundary_contamination`\n\n**Test statistics** (separate output):\n- AAR-level and CAAR-level tests, each with test statistic value and p-value\n- Minimum: Patell, BMP, Kolari-Pynnonen adjusted BMP, generalized sign test\n\n---\n\n## Sensible Defaults\n\nThese can be overridden by the user:\n\n| Parameter | Default | Notes |\n|-----------|---------|-------|\n| Estimation window | `[-250, -30]` | ~1 year of trading days |\n| Min estimation obs | 120 | Conservative; eventstudy2 defaults to 30 |\n| Event window | Widest CAR window | Determined by user's CAR windows |\n| Max event-date shift | 3 calendar days | Beyond this, exclude the event |\n| Dateline threshold | 0.0 | Include all trading days (set ~0.2 for international samples) |\n| Thin-trading adjustment | ON | Disable only for extremely liquid markets |\n| Log returns | Convert via `ln(1+R)` | Unless input is already in logs |\n| Min event-window obs | 1 | Per eventstudy2 default |\n| Kolari-Pynnonen ADJ | Computed | Skip only if N > 500 firms (O(N^2) cost) |\n\n---\n\n## Reference Files\n\nRead these for detailed formulas and implementation guidance:\n\n| File | Contents | When to Read |\n|------|----------|--------------|\n| `references/estimation_models.md` | RAW, COMEAN, MA, FM, BHAR model specs | When choosing or implementing a benchmark mo","tagline":">-","category":"automation","tags":["agent-skill"],"author":"kennethkhoocy","verified":false,"attribution":{"status":"registry_indexed","statusLabel":"Registry indexed","shortLabel":"REGISTRY INDEXED","sourceLabel":"recursive skill source sync","sourceDetail":"kennethkhoocy/applied-micro-skills","creatorName":"kennethkhoocy","creatorUrl":"https://github.com/kennethkhoocy","sourceUrl":"https://github.com/kennethkhoocy/applied-micro-skills/tree/main/plugins/applied-micro/skills/event-study-cars","indexedBy":"OpenAgentSkill community index","claimUrl":"https://www.openagentskill.com/skills/kennethkhoocy-event-study-cars#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":47,"forks":0,"verified_installs":0,"successful_runs":0,"total_outcomes":0,"rating":0,"review_count":0,"quality_score":35.32},"quality":{"score":64,"tier":"promising","label":"Promising","summary":"Useful candidate, but compare it with alternatives before adopting.","signals":[{"label":"GitHub stars","value":"47","tone":"neutral"},{"label":"Freshness","value":"Today","tone":"positive"},{"label":"Install ready","value":"Yes","tone":"positive"},{"label":"License","value":"MIT","tone":"neutral"}],"warnings":["Low GitHub adoption signal","SKILL.md excerpt is truncated in the provided documentation, but the full file appears comprehensive based on the excerpt and accompanying files."]},"trust":{"version":"trust-score-v5","score":57,"base_score":65,"outcome_confidence":0,"tier":"risk","label":"Do not auto-install","summary":"Trust Score v5 found insufficient evidence for agent installation. Treat this as discovery material, not an executable recommendation.","recommendedAction":"Choose a stronger alternative or inspect the source manually before any install attempt.","decision":{"install_policy":"human_review_before_install","auto_install_allowed":false,"human_review_required":true,"sandbox_first":true,"agent_action":"Compare alternatives before installing.","reasoning":["57/100 Trust Score v5","65/100 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":48,"weight":0.13,"status":"warn","detail":"47 GitHub stars"},{"id":"repo_activity","label":"Stars/forks activity","score":43,"weight":0.08,"status":"warn","detail":"47 stars, 0 forks; issue activity unavailable in current metadata"},{"id":"maintenance","label":"Recent maintenance","score":100,"weight":0.14,"status":"pass","detail":"Pushed today"},{"id":"license","label":"License clarity","score":86,"weight":0.09,"status":"pass","detail":"MIT"},{"id":"documentation","label":"README/SKILL.md completeness","score":60,"weight":0.14,"status":"warn","detail":"Public metadata needs stronger README/SKILL.md context"},{"id":"dependency_risk","label":"Dependency/runtime risk","score":72,"weight":0.12,"status":"info","detail":"command execution surface"},{"id":"installability","label":"Install availability","score":92,"weight":0.1,"status":"pass","detail":"npx skills add kennethkhoocy/applied-micro-skills --skill event-study-cars"},{"id":"install_safety","label":"Install command safety","score":92,"weight":0.1,"status":"pass","detail":"standard package or runtime install path"},{"id":"permission_surface","label":"Permission surface","score":62,"weight":0.07,"status":"info","detail":"shell or command execution, filesystem or document access"},{"id":"repository","label":"Repository evidence","score":86,"weight":0.04,"status":"pass","detail":"https://github.com/kennethkhoocy/applied-micro-skills/tree/main/plugins/applied-micro/skills/event-study-cars"},{"id":"review_status","label":"Review status","score":66,"weight":0.05,"status":"info","detail":"AI review data available"},{"id":"agent_outcomes","label":"Agent Proven outcomes","score":54,"weight":0.13,"status":"info","detail":"No agent outcome data yet"}],"checks":[{"status":"warn","label":"GitHub adoption","detail":"47 GitHub stars"},{"status":"warn","label":"Stars/forks activity","detail":"47 stars, 0 forks; issue activity unavailable in current metadata"},{"status":"pass","label":"Recent maintenance","detail":"Pushed today"},{"status":"pass","label":"License clarity","detail":"MIT"},{"status":"warn","label":"README/SKILL.md completeness","detail":"Public metadata needs stronger README/SKILL.md context"},{"status":"info","label":"Dependency/runtime risk","detail":"command execution surface"},{"status":"pass","label":"Install availability","detail":"npx skills add kennethkhoocy/applied-micro-skills --skill event-study-cars"},{"status":"pass","label":"Install command safety","detail":"standard package or runtime install path"},{"status":"info","label":"Permission surface","detail":"shell or command execution, filesystem or document access"},{"status":"pass","label":"Repository evidence","detail":"https://github.com/kennethkhoocy/applied-micro-skills/tree/main/plugins/applied-micro/skills/event-study-cars"},{"status":"info","label":"Review status","detail":"AI review data available"},{"status":"info","label":"Agent Proven outcomes","detail":"No agent outcome data yet"},{"status":"warn","label":"Ownership","detail":"No approved owner claim yet"},{"status":"pass","label":"OpenAgentSkill usage","detail":"4 views, 0 install copies"},{"status":"info","label":"Agent outcomes","detail":"No agent outcome data yet"}],"strengths":["AI review approved","Install path is available","Repository evidence is available","Recently maintained repository","Install command has no obvious high-risk pattern","Outcome loop is ready but needs first real agent run"],"warnings":["SKILL.md excerpt is truncated in the provided documentation, but the full file appears comprehensive based on the excerpt and accompanying files.","Financial research output is not financial advice; require human review before any live investment decision.","Low GitHub adoption signal","Quality score needs review","GitHub adoption: 47 GitHub stars","Stars/forks activity: 47 stars, 0 forks; issue activity unavailable in current metadata","README/SKILL.md completeness: Public metadata needs stronger README/SKILL.md context","No real agent outcome reports yet","Human review required before unattended installation"],"evidence":{"stars":"47 GitHub stars","repoActivity":"47 stars, 0 forks","lastPushed":"Pushed today","license":"MIT","repository":"https://github.com/kennethkhoocy/applied-micro-skills/tree/main/plugins/applied-micro/skills/event-study-cars","install":"npx skills add kennethkhoocy/applied-micro-skills --skill event-study-cars","installSafety":"standard package or runtime install path","permissionSurface":"shell or command execution, filesystem or document access","documentation":"Thin public metadata","agentOutcomes":"No agent outcome data yet","agentProvenScore":0,"outcomeConfidence":"0%","installPolicy":"human_review_before_install"},"installReadiness":{"ready":true,"command":"npx skills add kennethkhoocy/applied-micro-skills --skill event-study-cars","policy":"human_review_before_install","label":"Human review before install","notes":["Install path is available","Repository evidence is available","License is declared","No Agent Proven outcome evidence yet","Pushed today","Financial domain: human review is required before use in a live investment workflow.","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":["SKILL.md excerpt is truncated in the provided documentation, but the full file appears comprehensive based on the excerpt and accompanying files.","Financial research output is not financial advice; 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require human review before any live investment decision.","Low GitHub adoption signal","Quality score needs review","GitHub adoption: 47 GitHub stars","Stars/forks activity: 47 stars, 0 forks; issue activity unavailable in current metadata","README/SKILL.md completeness: Public metadata needs stronger README/SKILL.md context"],"backward_compatible":{"trust_score_v4":{"version":"trust-score-v4","score":65,"tier":"review","label":"Manual review","summary":"Potentially useful, but at least one trust signal needs human inspection."}}},"trust_score_v5":{"version":"trust-score-v5","score":57,"base_score":65,"outcome_confidence":0,"tier":"risk","label":"Do not auto-install","summary":"Trust Score v5 found insufficient evidence for agent installation. Treat this as discovery material, not an executable recommendation.","recommendedAction":"Choose a stronger alternative or inspect the source manually before any install attempt.","decision":{"install_policy":"human_review_before_install","auto_install_allowed":false,"human_review_required":true,"sandbox_first":true,"agent_action":"Compare alternatives before installing.","reasoning":["57/100 Trust Score v5","65/100 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":48,"weight":0.13,"status":"warn","detail":"47 GitHub stars"},{"id":"repo_activity","label":"Stars/forks activity","score":43,"weight":0.08,"status":"warn","detail":"47 stars, 0 forks; 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issue activity unavailable in current metadata"},{"status":"pass","label":"Recent maintenance","detail":"Pushed today"},{"status":"pass","label":"License clarity","detail":"MIT"},{"status":"warn","label":"README/SKILL.md completeness","detail":"Public metadata needs stronger README/SKILL.md context"},{"status":"info","label":"Dependency/runtime risk","detail":"command execution surface"},{"status":"pass","label":"Install availability","detail":"npx skills add kennethkhoocy/applied-micro-skills --skill event-study-cars"},{"status":"pass","label":"Install command safety","detail":"standard package or runtime install path"},{"status":"info","label":"Permission surface","detail":"shell or command execution, filesystem or document access"},{"status":"pass","label":"Repository evidence","detail":"https://github.com/kennethkhoocy/applied-micro-skills/tree/main/plugins/applied-micro/skills/event-study-cars"},{"status":"info","label":"Review status","detail":"AI review data available"},{"status":"info","label":"Agent Proven outcomes","detail":"No agent outcome data yet"},{"status":"warn","label":"Ownership","detail":"No approved owner claim yet"},{"status":"pass","label":"OpenAgentSkill usage","detail":"4 views, 0 install copies"},{"status":"info","label":"Agent outcomes","detail":"No agent outcome data yet"}],"strengths":["AI review approved","Install path is available","Repository evidence is available","Recently maintained repository","Install command has no obvious high-risk pattern","Outcome loop is ready but needs first real agent run"],"warnings":["SKILL.md excerpt is truncated in the provided documentation, but the full file appears comprehensive based on the excerpt and accompanying files.","Financial research output is not financial advice; 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require human review before any live investment decision.","Low GitHub adoption signal","Quality score needs review","GitHub adoption: 47 GitHub stars","Stars/forks activity: 47 stars, 0 forks; issue activity unavailable in current metadata","README/SKILL.md completeness: Public metadata needs stronger README/SKILL.md context"],"backward_compatible":{"trust_score_v4":{"version":"trust-score-v4","score":65,"tier":"review","label":"Manual review","summary":"Potentially useful, but at least one trust signal needs human inspection."}}},"trust_score_v4":{"version":"trust-score-v4","score":65,"tier":"review","label":"Manual review","summary":"Potentially useful, but at least one trust signal needs human inspection.","recommendedAction":"Inspect the repository, license, and recent activity before connecting it to agent workflows.","dimensions":[{"id":"github_adoption","label":"GitHub adoption","score":48,"weight":0.13,"status":"warn","detail":"47 GitHub stars"},{"id":"repo_activity","label":"Stars/forks activity","score":43,"weight":0.08,"status":"warn","detail":"47 stars, 0 forks; issue activity unavailable in current metadata"},{"id":"maintenance","label":"Recent maintenance","score":100,"weight":0.14,"status":"pass","detail":"Pushed today"},{"id":"license","label":"License clarity","score":86,"weight":0.09,"status":"pass","detail":"MIT"},{"id":"documentation","label":"README/SKILL.md completeness","score":60,"weight":0.14,"status":"warn","detail":"Public metadata needs stronger README/SKILL.md context"},{"id":"dependency_risk","label":"Dependency/runtime risk","score":72,"weight":0.12,"status":"info","detail":"command execution surface"},{"id":"installability","label":"Install availability","score":92,"weight":0.1,"status":"pass","detail":"npx skills add kennethkhoocy/applied-micro-skills --skill event-study-cars"},{"id":"install_safety","label":"Install command safety","score":92,"weight":0.1,"status":"pass","detail":"standard package or runtime install path"},{"id":"permission_surface","label":"Permission surface","score":62,"weight":0.07,"status":"info","detail":"shell or command execution, filesystem or document access"},{"id":"repository","label":"Repository evidence","score":86,"weight":0.04,"status":"pass","detail":"https://github.com/kennethkhoocy/applied-micro-skills/tree/main/plugins/applied-micro/skills/event-study-cars"},{"id":"review_status","label":"Review status","score":66,"weight":0.05,"status":"info","detail":"AI review data available"},{"id":"agent_outcomes","label":"Agent Proven outcomes","score":54,"weight":0.13,"status":"info","detail":"No agent outcome data yet"}],"checks":[{"status":"warn","label":"GitHub adoption","detail":"47 GitHub stars"},{"status":"warn","label":"Stars/forks activity","detail":"47 stars, 0 forks; issue activity unavailable in current metadata"},{"status":"pass","label":"Recent maintenance","detail":"Pushed today"},{"status":"pass","label":"License clarity","detail":"MIT"},{"status":"warn","label":"README/SKILL.md completeness","detail":"Public metadata needs stronger README/SKILL.md context"},{"status":"info","label":"Dependency/runtime risk","detail":"command execution surface"},{"status":"pass","label":"Install availability","detail":"npx skills add kennethkhoocy/applied-micro-skills --skill event-study-cars"},{"status":"pass","label":"Install command safety","detail":"standard package or runtime install path"},{"status":"info","label":"Permission surface","detail":"shell or command execution, filesystem or document access"},{"status":"pass","label":"Repository evidence","detail":"https://github.com/kennethkhoocy/applied-micro-skills/tree/main/plugins/applied-micro/skills/event-study-cars"},{"status":"info","label":"Review status","detail":"AI review data available"},{"status":"info","label":"Agent Proven outcomes","detail":"No agent outcome data yet"},{"status":"warn","label":"Ownership","detail":"No approved owner claim yet"},{"status":"pass","label":"OpenAgentSkill usage","detail":"4 views, 0 install copies"},{"status":"info","label":"Agent outcomes","detail":"No agent outcome data yet"}],"strengths":["AI review approved","Install path is available","Repository evidence is available","Recently maintained repository","Install command has no obvious high-risk pattern"],"warnings":["SKILL.md excerpt is truncated in the provided documentation, but the full file appears comprehensive based on the excerpt and accompanying files.","Financial research output is not financial advice; require human review before any live investment decision.","Low GitHub adoption signal","Quality score needs review","GitHub adoption: 47 GitHub stars","Stars/forks activity: 47 stars, 0 forks; issue activity unavailable in current metadata","README/SKILL.md completeness: Public metadata needs stronger README/SKILL.md context"],"evidence":{"stars":"47 GitHub stars","repoActivity":"47 stars, 0 forks","lastPushed":"Pushed today","license":"MIT","repository":"https://github.com/kennethkhoocy/applied-micro-skills/tree/main/plugins/applied-micro/skills/event-study-cars","install":"npx skills add kennethkhoocy/applied-micro-skills --skill event-study-cars","installSafety":"standard package or runtime install path","permissionSurface":"shell or command execution, filesystem or document access","documentation":"Thin public metadata","agentOutcomes":"No agent outcome data yet"},"installReadiness":{"ready":true,"command":"npx skills add kennethkhoocy/applied-micro-skills --skill event-study-cars","policy":"human_review_before_install","label":"Human review before install","notes":["Install path is available","Repository evidence is available","License is declared","No Agent Proven outcome evidence yet","Pushed today","Financial domain: human review is required before use in a live investment workflow."]},"agentCompatibility":["Codex","Claude Code","Cursor","OpenAgentSkill CLI"],"riskSummary":{"level":"medium","label":"Review before production","notes":["SKILL.md excerpt is truncated in the provided documentation, but the full file appears comprehensive based on the excerpt and accompanying files.","Financial research output is not financial advice; require human review before any live investment decision.","Low GitHub adoption signal","Quality score needs review","GitHub adoption: 47 GitHub stars"]},"outcomeEvidence":{"total":0,"successes":0,"failures":0,"notRelevant":0,"successRate":null,"installAttempts":0,"riskBlocked":0,"setupRequired":0,"installSuccessRate":null,"avgOutputQuality":null,"avgTimeToUsefulMs":null,"productionOutcomes":0,"humanReviewRequired":0,"recentSuccessRate":null,"recentFailureRate":null,"uniqueAgents":0,"agentProvenScore":0,"agentProvenLabel":"Needs first agent run","lastOutcomeAt":null,"label":"No agent outcome data yet"},"autoInstall":{"allowed":false,"sandboxRequired":true,"policy":"human_review_before_install","reason":"Human review or sandbox validation is required before automatic installation."},"bestFor":["automation","agent-skill"],"doNotUseFor":["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","Autonomous investment, trading, tax, or suitability decisions without a qualified human review"],"knownRisks":["SKILL.md excerpt is truncated in the provided documentation, but the full file appears comprehensive based on the excerpt and accompanying files.","Financial research output is not financial advice; require human review before any live investment decision.","Low GitHub adoption signal","Quality score needs review","GitHub adoption: 47 GitHub stars","Stars/forks activity: 47 stars, 0 forks; issue activity unavailable in current metadata","README/SKILL.md completeness: Public metadata needs stronger README/SKILL.md context"]},"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":47,"level":"avoid_auto_install","label":"Avoid automatic install","safety_tier":{"tier":"experimental","label":"Experimental","badge":"EXPERIMENTAL","summary":"Sparse or mixed signals. Useful for discovery, but not for autonomous installation.","recommended_action":"Test manually in an isolated workspace and compare against safer alternatives.","auto_install_policy":"review","reasons":["High-risk permission hints: Shell or command execution","47/100 agent safety score"]},"auto_install_allowed":false,"human_review_required":true,"blocked":false,"audit_risk":"needs_review","permission_hints":[{"id":"shell","label":"Shell or command execution","reason":"Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.","severity":"high"},{"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":["High-risk permission hints: Shell or command execution","Financial research output is not financial advice; require human review before any live investment decision"],"constraints_applied":{"max_risk":"medium","needs_install_command":true,"min_stars":0}},"safety_gate":{"tier":"experimental","label":"Experimental","badge":"EXPERIMENTAL","auto_install_policy":"review","auto_install_allowed":false,"blocked":false,"human_review_required":true,"recommended_action":"Test manually in an isolated workspace and compare against safer alternatives.","reasons":["High-risk permission hints: Shell or command execution","47/100 agent safety score"]},"eval":{"version":"openagentskill-skill-eval-v1","status":"review","score":65,"risk_level":"medium","decision":{"recommendation":"manual_review","reason":"Test manually in an isolated workspace and compare against safer alternatives.","auto_install_allowed":false,"policy":"review","human_review_required":true},"blockers":[],"warnings":["Trust score: Potentially useful, but at least one trust signal needs human inspection.","Audit score: Needs review","Agent safety gate: Sparse or mixed signals. Useful for discovery, but not for autonomous installation.","README/SKILL.md completeness: Public metadata needs stronger README/SKILL.md context","Permission surface: shell or command execution, filesystem or document access","High-risk permission hints: Shell or command execution","Financial research output is not financial advice; require human review before any live investment decision","SKILL.md excerpt is truncated in the provided documentation, but the full file appears comprehensive based on the excerpt and accompanying files.","The skill is complex and may require significant computational resources for large datasets, but this is not a security or compliance issue.","Low GitHub adoption signal","Financial research output is not financial advice; require human review before any live investment decision.","Quality score needs review"],"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 event-study-cars before installing it in an agent workflow","automation","Finance and quant 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 kennethkhoocy/applied-micro-skills --skill event-study-cars"]},{"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 kennethkhoocy/applied-micro-skills --skill event-study-cars"]},{"id":"trust_score","label":"Trust score","status":"warn","score":65,"required_for_auto_install":true,"detail":"Potentially useful, but at least one trust signal needs human inspection.","evidence":["Manual review","47 GitHub stars","MIT"]},{"id":"audit_score","label":"Audit score","status":"warn","score":75,"required_for_auto_install":true,"detail":"Needs review","evidence":["Financial research output is not financial advice; require human review before any live investment decision"]},{"id":"agent_safety_gate","label":"Agent safety gate","status":"warn","score":47,"required_for_auto_install":true,"detail":"Sparse or mixed signals. Useful for discovery, but not for autonomous installation.","evidence":["Test manually in an isolated workspace and compare against safer alternatives.","High-risk permission hints: Shell or command execution"]},{"id":"readme_skillmd_completeness","label":"README/SKILL.md completeness","status":"warn","score":60,"required_for_auto_install":false,"detail":"Public metadata needs stronger README/SKILL.md context","evidence":["Thin public metadata"]},{"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":62,"required_for_auto_install":true,"detail":"shell or command execution, filesystem or document access","evidence":["Shell or command execution: high","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/kennethkhoocy-event-study-cars/evals","api":"/api/agent/evals?slug=kennethkhoocy-event-study-cars","text":"/api/agent/evals?slug=kennethkhoocy-event-study-cars&format=text"}},"agent_readable_metadata":{"version":"openagentskill-agent-metadata-v2","skill":{"slug":"kennethkhoocy-event-study-cars","name":"event-study-cars","description":">-","category":"automation","url":"https://www.openagentskill.com/skills/kennethkhoocy-event-study-cars","repository":"https://github.com/kennethkhoocy/applied-micro-skills/tree/main/plugins/applied-micro/skills/event-study-cars","github_repo":"kennethkhoocy/applied-micro-skills"},"suited_tasks":["Finance and quant workflows","Claude Code teams","builders willing to evaluate younger projects","Retrieve market data","Compare financial signals","Generate investor-ready analysis","Navigate pages","Click and type safely"],"suited_agents":["Codex","Claude Code","Cursor","OpenAgentSkill CLI","CLI"],"install":{"command":"npx skills add kennethkhoocy/applied-micro-skills --skill event-study-cars","ready":true,"targets":[{"id":"openagentskill-cli","label":"CLI","kind":"command","value":"npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.2.1/openagentskill-0.2.1.tgz install kennethkhoocy-event-study-cars"},{"id":"codex","label":"Codex","kind":"agent-prompt","value":"Install the \"event-study-cars\" agent skill from https://github.com/kennethkhoocy/applied-micro-skills/tree/main/plugins/applied-micro/skills/event-study-cars. 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: >- 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\":\"kennethkhoocy-event-study-cars\",\"task\":\"Install event-study-cars\",\"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 \"event-study-cars\" as a Claude Code skill from https://github.com/kennethkhoocy/applied-micro-skills/tree/main/plugins/applied-micro/skills/event-study-cars. 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: >- 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\":\"kennethkhoocy-event-study-cars\",\"task\":\"Install event-study-cars\",\"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 \"event-study-cars\" from https://github.com/kennethkhoocy/applied-micro-skills/tree/main/plugins/applied-micro/skills/event-study-cars 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: >- 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\":\"kennethkhoocy-event-study-cars\",\"task\":\"Install event-study-cars\",\"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/kennethkhoocy-event-study-cars/install","manifest_url":"https://www.openagentskill.com/api/registry/manifest/kennethkhoocy-event-study-cars"},"trust":{"score":65,"label":"Manual review","version":"trust-score-v4","install_policy":"human_review_before_install","evidence":{"stars":"47 GitHub stars","repoActivity":"47 stars, 0 forks","lastPushed":"Pushed today","license":"MIT","repository":"https://github.com/kennethkhoocy/applied-micro-skills/tree/main/plugins/applied-micro/skills/event-study-cars","install":"npx skills add kennethkhoocy/applied-micro-skills --skill event-study-cars","installSafety":"standard package or runtime install path","permissionSurface":"shell or command execution, filesystem or document access","documentation":"Thin public metadata","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":["automation","agent-skill"],"known_risks":["SKILL.md excerpt is truncated in the provided documentation, but the full file appears comprehensive based on the excerpt and accompanying files.","Financial research output is not financial advice; require human review before any live investment decision.","Low GitHub adoption signal","Quality score needs review","GitHub adoption: 47 GitHub stars","Stars/forks activity: 47 stars, 0 forks; issue activity unavailable in current metadata","README/SKILL.md completeness: Public metadata needs stronger README/SKILL.md context"]},"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":75,"risk_level":"needs_review","risk_label":"Needs review","warnings":["Financial research output is not financial advice; require human review before any live investment decision","SKILL.md excerpt is truncated in the provided documentation, but the full file appears comprehensive based on the excerpt and accompanying files.","The skill is complex and may require significant computational resources for large datasets, but this is not a security or compliance issue.","Low GitHub adoption signal","Financial research output is not financial advice; require human review before any live investment decision.","Quality score needs review","GitHub adoption: 47 GitHub stars","Stars/forks activity: 47 stars, 0 forks; issue activity unavailable in current metadata"]},"safety_gate":{"tier":"experimental","label":"Experimental","auto_install_policy":"review","auto_install_allowed":false,"human_review_required":true,"blocked":false,"recommended_action":"Test manually in an isolated workspace and compare against safer alternatives."},"quality":{"score":64,"label":"Promising"},"supply":{"track":"Research and knowledge work","scenario":"Research agents","maintenance":"Pushed today","risk":"Needs review"},"alternative_skills":[],"do_not_use_when":["teams that need a vendor-supported SLA","production agents without a repository review","Low GitHub adoption signal","SKILL.md excerpt is truncated in the provided documentation, but the full file appears comprehensive based on the excerpt and accompanying files.","High-risk permission hints: Shell or command execution","Financial research output is not financial advice; require human review before any live investment decision","The skill is complex and may require significant computational resources for large datasets, but this is not a security or compliance issue.","Financial research output is not financial advice; require human review before any live investment decision."],"agent_contract":{"task_input":"Use event-study-cars in an agent workflow","recommended_action":"Test manually in an isolated workspace and compare against safer alternatives.","install_policy":"review","minimum_review_before_use":["Trust: 65/100 Manual review","Audit: 75/100 Needs review","Safety: 47/100 Avoid automatic install","Review repository, license, install command, and permission surface before production use."],"expected_agent_output":{"selected_skill":"kennethkhoocy-event-study-cars (event-study-cars)","install_command":"npx skills add kennethkhoocy/applied-micro-skills --skill event-study-cars","risk_summary":"Needs review; Experimental; 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":"kennethkhoocy-event-study-cars","task":"Use event-study-cars 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/kennethkhoocy-event-study-cars","api":"https://www.openagentskill.com/api/agent/skills/kennethkhoocy-event-study-cars","audit":"https://www.openagentskill.com/skills/kennethkhoocy-event-study-cars/audit","eval":"https://www.openagentskill.com/api/agent/evals?slug=kennethkhoocy-event-study-cars&task=Use%20event-study-cars%20in%20an%20agent%20workflow&max_risk=medium","resolve":"https://www.openagentskill.com/api/agent/resolve?task=Use%20event-study-cars%20in%20an%20agent%20workflow&agent=codex&max_risk=medium","receipt":"https://www.openagentskill.com/api/agent/receipt?task=Use%20event-study-cars%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text","install":"https://www.openagentskill.com/api/skills/kennethkhoocy-event-study-cars/install","manifest":"https://www.openagentskill.com/api/registry/manifest/kennethkhoocy-event-study-cars"}},"machine_metadata":{"version":"openagentskill-agent-metadata-v2","skill":{"slug":"kennethkhoocy-event-study-cars","name":"event-study-cars","description":">-","category":"automation","url":"https://www.openagentskill.com/skills/kennethkhoocy-event-study-cars","repository":"https://github.com/kennethkhoocy/applied-micro-skills/tree/main/plugins/applied-micro/skills/event-study-cars","github_repo":"kennethkhoocy/applied-micro-skills"},"suited_tasks":["Finance and quant workflows","Claude Code teams","builders willing to evaluate younger projects","Retrieve market data","Compare financial signals","Generate investor-ready analysis","Navigate pages","Click and type safely"],"suited_agents":["Codex","Claude Code","Cursor","OpenAgentSkill CLI","CLI"],"install":{"command":"npx skills add kennethkhoocy/applied-micro-skills --skill event-study-cars","ready":true,"targets":[{"id":"openagentskill-cli","label":"CLI","kind":"command","value":"npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.2.1/openagentskill-0.2.1.tgz install kennethkhoocy-event-study-cars"},{"id":"codex","label":"Codex","kind":"agent-prompt","value":"Install the \"event-study-cars\" agent skill from https://github.com/kennethkhoocy/applied-micro-skills/tree/main/plugins/applied-micro/skills/event-study-cars. 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: >- 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\":\"kennethkhoocy-event-study-cars\",\"task\":\"Install event-study-cars\",\"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 \"event-study-cars\" as a Claude Code skill from https://github.com/kennethkhoocy/applied-micro-skills/tree/main/plugins/applied-micro/skills/event-study-cars. 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: >- 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\":\"kennethkhoocy-event-study-cars\",\"task\":\"Install event-study-cars\",\"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 \"event-study-cars\" from https://github.com/kennethkhoocy/applied-micro-skills/tree/main/plugins/applied-micro/skills/event-study-cars 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: >- 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\":\"kennethkhoocy-event-study-cars\",\"task\":\"Install event-study-cars\",\"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/kennethkhoocy-event-study-cars/install","manifest_url":"https://www.openagentskill.com/api/registry/manifest/kennethkhoocy-event-study-cars"},"trust":{"score":65,"label":"Manual review","version":"trust-score-v4","install_policy":"human_review_before_install","evidence":{"stars":"47 GitHub stars","repoActivity":"47 stars, 0 forks","lastPushed":"Pushed today","license":"MIT","repository":"https://github.com/kennethkhoocy/applied-micro-skills/tree/main/plugins/applied-micro/skills/event-study-cars","install":"npx skills add kennethkhoocy/applied-micro-skills --skill event-study-cars","installSafety":"standard package or runtime install path","permissionSurface":"shell or command execution, filesystem or document access","documentation":"Thin public metadata","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":["automation","agent-skill"],"known_risks":["SKILL.md excerpt is truncated in the provided documentation, but the full file appears comprehensive based on the excerpt and accompanying files.","Financial research output is not financial advice; require human review before any live investment decision.","Low GitHub adoption signal","Quality score needs review","GitHub adoption: 47 GitHub stars","Stars/forks activity: 47 stars, 0 forks; issue activity unavailable in current metadata","README/SKILL.md completeness: Public metadata needs stronger README/SKILL.md context"]},"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":75,"risk_level":"needs_review","risk_label":"Needs review","warnings":["Financial research output is not financial advice; require human review before any live investment decision","SKILL.md excerpt is truncated in the provided documentation, but the full file appears comprehensive based on the excerpt and accompanying files.","The skill is complex and may require significant computational resources for large datasets, but this is not a security or compliance issue.","Low GitHub adoption signal","Financial research output is not financial advice; require human review before any live investment decision.","Quality score needs review","GitHub adoption: 47 GitHub stars","Stars/forks activity: 47 stars, 0 forks; issue activity unavailable in current metadata"]},"safety_gate":{"tier":"experimental","label":"Experimental","auto_install_policy":"review","auto_install_allowed":false,"human_review_required":true,"blocked":false,"recommended_action":"Test manually in an isolated workspace and compare against safer alternatives."},"quality":{"score":64,"label":"Promising"},"supply":{"track":"Research and knowledge work","scenario":"Research agents","maintenance":"Pushed today","risk":"Needs review"},"alternative_skills":[],"do_not_use_when":["teams that need a vendor-supported SLA","production agents without a repository review","Low GitHub adoption signal","SKILL.md excerpt is truncated in the provided documentation, but the full file appears comprehensive based on the excerpt and accompanying files.","High-risk permission hints: Shell or command execution","Financial research output is not financial advice; require human review before any live investment decision","The skill is complex and may require significant computational resources for large datasets, but this is not a security or compliance issue.","Financial research output is not financial advice; require human review before any live investment decision."],"agent_contract":{"task_input":"Use event-study-cars in an agent workflow","recommended_action":"Test manually in an isolated workspace and compare against safer alternatives.","install_policy":"review","minimum_review_before_use":["Trust: 65/100 Manual review","Audit: 75/100 Needs review","Safety: 47/100 Avoid automatic install","Review repository, license, install command, and permission surface before production use."],"expected_agent_output":{"selected_skill":"kennethkhoocy-event-study-cars (event-study-cars)","install_command":"npx skills add kennethkhoocy/applied-micro-skills --skill event-study-cars","risk_summary":"Needs review; Experimental; 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":"kennethkhoocy-event-study-cars","task":"Use event-study-cars 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/kennethkhoocy-event-study-cars","api":"https://www.openagentskill.com/api/agent/skills/kennethkhoocy-event-study-cars","audit":"https://www.openagentskill.com/skills/kennethkhoocy-event-study-cars/audit","eval":"https://www.openagentskill.com/api/agent/evals?slug=kennethkhoocy-event-study-cars&task=Use%20event-study-cars%20in%20an%20agent%20workflow&max_risk=medium","resolve":"https://www.openagentskill.com/api/agent/resolve?task=Use%20event-study-cars%20in%20an%20agent%20workflow&agent=codex&max_risk=medium","receipt":"https://www.openagentskill.com/api/agent/receipt?task=Use%20event-study-cars%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text","install":"https://www.openagentskill.com/api/skills/kennethkhoocy-event-study-cars/install","manifest":"https://www.openagentskill.com/api/registry/manifest/kennethkhoocy-event-study-cars"}},"supply_profile":{"track":{"slug":"research","label":"Research and knowledge work","shortLabel":"Research","description":"Deep research, source comparison, literature review, RAG, knowledge search, and reports."},"scenario":{"label":"Research agents","description":"I need my agent to research a topic, compare sources, and produce a concise report.","useCases":[{"slug":"finance-quant","title":"Finance and quant"},{"slug":"browser-automation","title":"Browser automation"},{"slug":"research-agents","title":"Research agents"}]},"applicableAgents":["Claude Code","CLI","Codex","Cursor"],"install":{"ready":true,"command":"npx skills add kennethkhoocy/applied-micro-skills --skill event-study-cars","primaryTarget":"CLI","targetCount":4},"githubQuality":{"stars":47,"starsLabel":"47","forks":0,"license":"MIT","qualityScore":64,"trustScore":65,"auditScore":75},"maintenance":{"status":"fresh","label":"Pushed today","daysSincePush":0,"lastPushedAt":"2026-08-24T03:17:05+00:00"},"risk":{"level":"needs_review","label":"Needs review","requiresReview":true,"notes":["Financial research output is not financial advice; require human review before any live investment decision","SKILL.md excerpt is truncated in the provided documentation, but the full file appears comprehensive based on the excerpt and accompanying files.","The skill is complex and may require significant computational resources for large datasets, but this is not a security or compliance issue.","Low GitHub adoption signal","Financial research output is not financial advice; require human review before any live investment decision."]},"coverageTags":["Research","Research agents","automation","agent-skill"]},"audit":{"audit_score":75,"risk_level":"needs_review","risk_label":"Needs review","quality_score":64,"trust_score":65,"maintenance_score":100,"security_score":76,"install_score":92,"warnings":["Financial research output is not financial advice; require human review before any live investment decision","SKILL.md excerpt is truncated in the provided documentation, but the full file appears comprehensive based on the excerpt and accompanying files.","The skill is complex and may require significant computational resources for large datasets, but this is not a security or compliance issue.","Low GitHub adoption signal","Financial research output is not financial advice; require human review before any live investment decision.","Quality score needs review","GitHub adoption: 47 GitHub stars","Stars/forks activity: 47 stars, 0 forks; issue activity unavailable in current metadata","README/SKILL.md completeness: Public metadata needs stronger README/SKILL.md context"]},"quality_signals":{"model":"v2","star_score":11.77,"usage_score":0,"review_score":5.55,"metadata_score":3,"freshness_score":15},"platforms":["Claude Code"],"use_cases":[{"slug":"finance-quant","title":"Finance and quant","url":"https://www.openagentskill.com/use-cases/finance-quant"},{"slug":"browser-automation","title":"Browser automation","url":"https://www.openagentskill.com/use-cases/browser-automation"},{"slug":"research-agents","title":"Research agents","url":"https://www.openagentskill.com/use-cases/research-agents"},{"slug":"local-desktop","title":"Local desktop","url":"https://www.openagentskill.com/use-cases/local-desktop"}],"stacks":[{"slug":"browser-qa-agent","title":"Browser QA agent","url":"https://www.openagentskill.com/collections/browser-qa-agent"},{"slug":"research-report-agent","title":"Research report agent","url":"https://www.openagentskill.com/collections/research-report-agent"},{"slug":"content-growth-agent","title":"Content growth agent","url":"https://www.openagentskill.com/collections/content-growth-agent"}],"install":"npx skills add kennethkhoocy/applied-micro-skills --skill event-study-cars","install_targets":[{"id":"openagentskill-cli","label":"CLI","title":"OpenAgentSkill CLI","kind":"command","value":"npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.2.1/openagentskill-0.2.1.tgz install kennethkhoocy-event-study-cars","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 \"event-study-cars\" agent skill from https://github.com/kennethkhoocy/applied-micro-skills/tree/main/plugins/applied-micro/skills/event-study-cars. 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: >- 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\":\"kennethkhoocy-event-study-cars\",\"task\":\"Install event-study-cars\",\"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 \"event-study-cars\" as a Claude Code skill from https://github.com/kennethkhoocy/applied-micro-skills/tree/main/plugins/applied-micro/skills/event-study-cars. 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: >- 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\":\"kennethkhoocy-event-study-cars\",\"task\":\"Install event-study-cars\",\"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 \"event-study-cars\" from https://github.com/kennethkhoocy/applied-micro-skills/tree/main/plugins/applied-micro/skills/event-study-cars 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: >- 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\":\"kennethkhoocy-event-study-cars\",\"task\":\"Install event-study-cars\",\"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/kennethkhoocy/applied-micro-skills/tree/main/plugins/applied-micro/skills/event-study-cars","github_repo":"kennethkhoocy/applied-micro-skills","version":"1.0.0","license":"MIT","urls":{"web":"https://www.openagentskill.com/skills/kennethkhoocy-event-study-cars","repository":"https://github.com/kennethkhoocy/applied-micro-skills/tree/main/plugins/applied-micro/skills/event-study-cars","api":"/api/agent/skills/kennethkhoocy-event-study-cars","install_api":"/api/skills/kennethkhoocy-event-study-cars/install"},"meta":{"created_at":"2026-08-24T04:37:12.475474+00:00","updated_at":"2026-08-24T04:37:12.475474+00:00","agent_friendly":true}}