stock-earnings
Skill9 starsChanged 6 months agoMITView on GitHub
Earnings review for a stock. Use when the user mentions earnings, a quarterly report, or asks to review results for a company.
In this repository16 other files it gives its agents.
- etf-compareSkill
- etf-portfolioSkill
- etf-screenSkill
- etf-sectorSkill
- stock-analystSkill
- stock-balance-sheetSkill
- stock-filingSkill
- stock-managementSkill
- stock-moatSkill
- stock-monitorSkill
- stock-portfolioSkill
- stock-red-flagsSkill
- stock-screenSkill
- stock-sectorSkill
- stock-thesisSkill
- stock-valuationSkill
The file
We split this skill into the rules it gives an agent
1 rule. About 0 are common, 1 is distinctive, and 0 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈1
Distinctive · estimate
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 6
Run a full earnings review structured as:
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Run a full earnings review structured as:
BEAT/MISS SCORECARD
- Revenue: actual vs consensus, vs guidance, vs prior year
- EPS: actual vs consensus, vs guidance
- Key operating metrics (the 3 metrics management tracks most)
GUIDANCE ANALYSIS
- New guidance vs prior guidance vs consensus
- Management tone: confident / cautious / defensive (cite specific language)
QUALITY OF BEAT
- Was the beat driven by real demand or one-time items?
- Channel stuffing, pull-forward, or accounting changes?
RED FLAGS
- Any metrics management stopped disclosing?
- Inventory build, DSO changes, deferred revenue movement?
VERDICT: Raise / Hold / Trim and why in 2 sentences.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

