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Dilution event scoring

Skill jefrnc/quant-llm-skills/skills/dilution-event-scoring

Skills for quant research with LLMs that don't fall for the traps nobody talks about. Lookahead bias, ATM detection, survivorship, transaction-cost realism — 10 skills + 11 reproducible evals showing 8 of them measurably improve Haiku output. Claude Code & Cursor compatible, MIT.

Install
npx -y skills add jefrnc/quant-llm-skills --skill dilution-event-scoring

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Use when assessing, ranking, comparing, or rating dilution risk for one or more small-cap stocks. Produces a transparent 0-100 score integrating ATM activity, placement-agent tier, filing recency, cash runway, warrant attachment, and repeat-dilution history, with auditable component breakdown and action thresholds (SEVERE / HIGH / MODERATE / LOW / MINIMAL).

The file declares its own license as MIT. That is the author’s claim about this one file, and it is not the same thing as the license GitHub reports for the repository, which is listed with the other numbers below.

SKILL.md

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Dilution Event Scoring

A reproducible 0–100 framework for "how dilutive is this name right now." The point is not to be perfectly accurate — it is to be transparent and consistent so you can compare across tickers and across time without drift.

Core principle

Score components, then combine. Never start from gut, then justify.

Each component contributes independently. Final score is a weighted sum, capped at 100. Every score must be reproducible from the inputs; if you can't write down which signals fired, you don't have a score — you have an opinion.

Components and weights

ComponentMax pointsSourced from
Active ATM detected30atm-detection
Placement agent tier20bank-tier-classification
Filing recency15filing dates
Cash runway15last 10-Q "Liquidity" / cash + burn rate
Structural toxicity (warrants, ELOC, deep discount)10424B / 8-K body
Repeat-dilution history (12mo)10filing-count over 12-month window
Total100

Active ATM detected (0–30)

StatePoints
Confirmed active ATM (3-signal rule passes; recent 10-Q confirms in-use)30
Active ATM authorized but no recent 10-Q confirmation of use22
ELOC active (Common Stock Purchase Agreement with single counterparty)25
Registered direct in last 30 days, no ATM12
Effective shelf only (S-3/F-3 effective, no 424B in 6+ months)5
No effective shelf, no recent offering0

Placement agent tier (0–20)

Apply only when an offering or sales agreement is in flight. If no agent is named or none of the signals above fire, this component is 0.

TierPoints
Tier 4 (specialized small-cap placement, e.g., Wainwright on ATM)20
Tier 3 (boutique / sector specialist)12
Tier 2 (mid-tier full-service)6
Tier 1 (bulge bracket)2
No agent involved (e.g., S-1 for shell, no underwriter)8 (unknown is risk)

Filing recency (0–15)

The market's memory of a dilution event decays. Recent = more pressure.

Most recent dilution-relevant filingPoints
424B / 8-K item 3.02 in last 7 days15
In last 30 days10
In last 90 days5
> 90 days0

Cash runway (0–15)

Estimate from last 10-Q: (cash + equivalents) / quarterly burn. Use the most conservative interpretation when data is partial.

Estimated runwayPoints
< 3 months15
3–6 months12
6–12 months7
12–24 months3
> 24 months0

If runway cannot be estimated (no recent 10-Q, going-concern language without numbers), assign 10 and flag for manual review.

Structural toxicity (0–10)

Read the 424B / agreement for these features. Each present = 2 points, capped at 10.

  • Warrants attached at or below offering price
  • Pricing at >15% discount to last close
  • ELOC / Standby Equity Purchase Agreement with discount-to-VWAP pricing
  • Convertible note with reset / variable conversion
  • "Best efforts" placement (no firm commitment)
  • Multiple amendments to S-3 in last 12 months (suggests repeat use)
  • Going-concern language in the most recent 10-Q

Repeat-dilution history (0–10)

Count distinct dilutive events in the trailing 12 months (424Bs, 8-K 3.02s, S-8 effectivenesses, registered amendments).

Events in last 12 monthsPoints
6+10
3–57
24
12
00

Score thresholds and actions

ScoreLabelAction recommendation
75–100🚨 SEVERETreat as continuous selling pressure. Avoid long. Short candidate on strength. Confirm with atm-detection.
55–74⚠️ HIGHMaterial dilution overhang. Reduce size, no overnight on green days.
35–54⚠️ MODERATEWatch carefully. Tradable with discipline.
15–34LOWBackground risk only; structure looks clean.
0–14MINIMALNo active dilution mechanism detected.

Worked example (illustrative)

Input: ticker XYZ, today.

SignalScore
ATM detected: confirmed active, last 10-Q says "$8M sold YTD under ATM"30
Agent: H.C. Wainwright on the Sales Agreement (Tier 4)20
Most recent 424B5: 5 days ago15
Cash runway from last 10-Q: ~4 months12
Structural toxicity: warrants attached, going-concern language → 2 + 24
Repeat dilution: 5 events in 12 months7
Total88

Verdict: SEVERE. Continuous selling overhang; treat any rally as a print opportunity for the issuer.

Hard rules

  1. Never publish a score without the component breakdown. A naked number is not actionable and not auditable.
  2. Lookahead safety applies to every component. A 424B "in last 7 days" means filing_date <= today AND >= today minus 7 — no future data. Re-scoring an old date requires the data state AS OF that date.
  3. Do not double-count. ATM points already encode the 424B + agent structure; the "filing recency" component refers to the calendar age of the most recent filing, not the existence of the filing.
  4. Re-score at every new filing. A score is a snapshot, not a permanent label. New 10-Q can drop runway points; new 424B can restart filing-recency points; an 8-K announcing ATM termination should drop the ATM points to 0.
  5. Component weights are not sacred. They are calibrated for small-cap US/FPI tickers. For different universes (large-cap, REITs, biotech with milestone-based structures), recalibrate before using.

Anti-patterns

  • Scoring on a single signal. "S-3 effective → 100" is not a score, it's pattern-matching. Always require multi-component composition.
  • Hand-waving cash runway. If you can't extract the number, assign 10 and flag — don't assume zero.
  • Treating tier as a moral judgment. Tier 4 is a behavior prediction, not a verdict on the firm. Same for low scores: a clean Tier 1 underwritten secondary is still dilutive on pricing day.

Workflow

  1. Collect inputs:
    • last effective S-3/F-3, latest 424B*, latest 8-K items
    • placement agent name (if any)
    • last 10-Q cash + quarterly burn
    • 12-month filing history
  2. For each component, compute the sub-score using the tables above. Always cite the source filing.
  3. Sum, cap at 100.
  4. Output: total score, component breakdown, verdict label, top contributing signals.
  5. Stamp with the data-as-of date for reproducibility (lookahead-safety).

Phrases that should trigger this skill

  • "how dilutive is X" / "score the dilution risk"
  • "dilution score" / "dilution risk score"
  • "is this stock about to dump"
  • "compare dilution risk between X and Y"
  • "rank these tickers by dilution"

What this skill is NOT

This is not a price target or a trading signal. It quantifies the structural dilution risk in the filings; it does not predict short-term price moves, scoring trade entries, or confirm execution mechanics. Combine outputs with price/volume context and your own trade plan. Required upstream skills: atm-detection, bank-tier-classification, sec-filing-types, lookahead-safety.

Keep looking

Skills are one crate of 328,083. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.