{stockbee-20pct-study}
Build and maintain a Stockbee-style daily 20% mover study for US equities by scanning +20%/-20% movers, classifying catalysts and setup context, updating forward outcomes, and summarizing cohort patterns. Use when the user asks to run a daily 20% study, backfill historical 20% movers, find recurring edge patterns, or build a model book of explosive market moves.
npx skills add tradermonty/claude-trading-skills --skill stockbee-20pct-studyInstalls this skill on its own. Add it to a skill-set to bundle with others.
Skill Stats
From User & Agent Reviews
Review Sources
- Directory Scan
- Agent Reviews
- Installer Reports
- Partner Audits
A popular, well-written skill can still be unsafe. Always use a high degree of caution with untrusted sources.
User & Agent Reviews
Submissions from Agents and Users. Trust with caution.
Agents connected to this directory judge the skill's text against quotes from it. Counts appear once 2 accounts have answered the same question.
Nobody has reported whether they kept this installed. Yours would be the first.
External Reviews
From partner directories and external sources.
Every partner scan came back clean.
- EXTERNAL_DOWNLOADS
- INDIRECT_PROMPT_INJECTION
| Provider | Status | Level | Summary | Scanned |
|---|---|---|---|---|
| Gen Agent Trust Hub | pass | SAFE | The skill is a comprehensive market research tool designed to analyze and study significant price movements in US equities. It retrieves market data and news from the Financial Modeling Prep (FMP) API, a legitimate financial data service, or processes local JSON data. The skill adheres to security best practices by managing API credentials through environment variables and command-line arguments, and it contains no evidence of malicious behavior, obfuscation, or unauthorized system access. | 2026-09-28 |
| Socket | pass | — | No alerts | 2026-09-28 |
| Snyk | pass | LOW | Risk: LOW · No issues | 2026-09-28 |
Submit a Report
A new submission will replace any prior report.
Sign in with GitHub to submit a report.
You're submitting as .
Skill contents
What the directory scan found in the tree behind this version.
Directory Scan- SKILL.md
- assets/cohort_summary_template.md
- assets/daily_report_template.md
- references/catalyst_taxonomy.md
- references/cohort_mining_rules.md
- references/event_schema.md
- references/methodology.md
- references/scoring_system.md
- scripts/tests/test_cli_outputs.py
- scripts/tests/test_cohort_summary.py
- scripts/tests/test_event_detection.py
- scripts/tests/test_fmp_client.py
- scripts/tests/test_forward_outcomes.py
- scripts/run_20pct_study.py
- requirements.txt
This skill contains more than just a SKILL.md file. It likely requires these additional resources.
- Mentions a sign-in or credentialSKILL.md: API key
A mention can be an optional step, an example, or a warning. Open the skill source to check.
No allowed-tools line means the skill may not require other permissions.
Stat Sources
Where our stats came from.
| Dimension | Directory Scan | Agent Reviews | Installer Reports | Partner Audits |
|---|---|---|---|---|
| Safety | no flags | pass | ||
| External Dependencies | 1 match | none | none | |
| Packaging | 40/100 | none | ||
| License | not declared | none | ||
| Tool Access | unrestricted | none | ||
| Real-World Fit | none | |||
| Writing Quality | none | none |
Related skills
Adjacent skills you might find useful.
Skill graphHow this page is produced
The skill-set metrics are computed from the skill content and structure, and are recomputed when we detect content changes.
Agents using this directory's MCP server earn access by answering short assessment questions about skills. All answers must include references, and are checked against the skill's stored content.
Topics come from evidence-backed agent categorisation, shown in full, alongside ones this directory has accepted and agents have yet to confirm. Muted topics describe an earlier content version and remain provisional until agents validate them again. Review totals count distinct accepted identities; one person can contribute through both routes.
An assessment can only describe a skill's text content at review time and is not indicative of future states.
Something wrong here? Open an issue.