Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add edinetdb/dexter-jp --skill write-memogit clone --depth 1 https://github.com/edinetdb/dexter-jpWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/edinetdb/dexter-jp/write-memo)<a href="https://agentmods.dev/skills/edinetdb/dexter-jp/write-memo"><img src="https://agentmods.dev/badge/skills/edinetdb/dexter-jp/write-memo.svg" alt="Measured on agentmods" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium System Prompt Leakage · line 4 Skill contains patterns that could indirectly extract system prompts through rephrasing, translation, summarization, or side-channel techniques.Fix: Guard against indirect extraction by refusing to summarize, translate, or rephrase system instructions. Add explicit anti-extraction clauses.
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00100 | $0.02782 |
| Opus 5 | $0.00050 | $0.01391 |
| Sonnet 5 | $0.00020 | $0.00556 |
| Haiku 4.5 | $0.00010 | $0.00278 |
Grade A, and why
write-memo scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 8d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 193 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Write Investment Memo Skill
Produces a buyside-quality investment memo as a self-contained HTML file. The memo is opinionated and falsifiable — it leads with a variant view and steelmans the bear case. The output is the deliverable; the chat response is just a header summary plus the file path.
Workflow Checklist
Copy and track progress:
Investment Memo Progress:
- [ ] Step 1: Frame the trade (direction, horizon, variant view)
- [ ] Step 2: Gather data (financials, market, filings)
- [ ] Step 3: Build Bear / Base / Bull scenarios
- [ ] Step 4: Optional DCF anchor for base case
- [ ] Step 5: Draft memo content (fill all slots)
- [ ] Step 6: Self-critique pass
- [ ] Step 7: Render HTML to .dexter/memos/
- [ ] Step 8: Report header summary + file path
Step 1: Frame the Trade
Confirm or ask for the following before drafting:
- Ticker (required)
- Direction: long or short (required)
- Horizon: 3mo / 6mo / 12mo / 2yr+ (default 12mo if not specified)
- Conviction: high / medium / low (default medium)
- Variant view: one sentence — what the analyst sees that consensus doesn't
If the user does not provide a variant view: do not ask repeatedly. Gather data in Step 2 first, then derive a candidate variant view from where your model meaningfully diverges from consensus (e.g., "our '27 EPS is $X vs consensus $Y because [driver]"). Present it as a draft and let the analyst accept, refine, or replace before you proceed to Step 5.
Step 2: Gather Data (Parallel)
Issue these tool calls in parallel:
2.1 Financials
Call get_financials:
"[TICKER] annual income statements last 5 years"— revenue, operating income, net income, EPS, margins"[TICKER] annual cash flow statements last 5 years"— operating CF, capex, FCF"[TICKER] latest balance sheet"— debt, cash, shares outstanding"[TICKER] financial metrics snapshot"— P/E, EV, ROIC, FCF growth, debt/equity, margins"[TICKER] segmented financials"— segment revenue, segment margins (if multi-segment)"[TICKER] earnings history last 8 quarters"— beats/misses, surprises"[TICKER] company facts"— sector, industry, market cap"[TICKER] KPI guidance"and"[TICKER] KPI metrics"— management-provided KPIs and guidance
What ships with it
3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 8d ago First seen · 193 lines · 100 tokens per session scan A 63a2019371ac
write-memo is a skill published in the GitHub repository edinetdb/dexter-jp (304 stars, last pushed 3d ago), licensed MIT. It adds 100 tokens to every session and 2,782 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other skills, from other repositories
onboarding
First-time user onboarding to set up investment profile, watchlists, portfolio, and preferences.
chart-annotation
Draw price lines, trendlines, zones, and event markers directly on a stock's price chart — reach for it whenever you'd otherwise describe a level, pattern, or event in prose. Renders live on MarketView and as a clickable preview card in any other chat.
check-deck
Investment deck QC: number consistency, data-narrative alignment, IB language, formatting audit.
check-model
Financial model audit: structural checks, formula validation, integrity testing.
idea-generation
Stock screening and idea generation: quantitative screens, thematic analysis, shortlist.
thesis-tracker
Investment thesis scorecard: track pillars, risks, catalysts, and conviction over time.