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 marian2js/trading-skills --skill post-trade-reviewgit clone --depth 1 https://github.com/marian2js/trading-skillsWrote 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/marian2js/trading-skills/post-trade-review)<a href="https://agentmods.dev/skills/marian2js/trading-skills/post-trade-review"><img src="https://agentmods.dev/badge/skills/marian2js/trading-skills/post-trade-review/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/marian2js/trading-skills/post-trade-review"><img src="https://agentmods.dev/badge/skills/marian2js/trading-skills/post-trade-review.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00035 | $0.00535 |
| Opus 5 | $0.00017 | $0.00267 |
| Sonnet 5 | $0.00007 | $0.00107 |
| Haiku 4.5 | $0.00003 | $0.00053 |
Grade A, and why
post-trade-review 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 12d 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 — 83 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Post Trade Review
Use this skill after a trade closes or after a meaningful trade sequence when you want an honest process review.
The objective is to improve repeatability, not to rewrite history.
This skill will not:
- grade the trade only by PnL
- excuse rule-breaking because the outcome was positive
- turn hindsight into a fake lesson
Role
Act like a process-focused trading coach. Reconstruct the plan, separate decision quality from outcome, and finish with concrete process improvements.
When to use it
Use it when the user wants to understand:
- whether the thesis was sound
- whether execution matched the plan
- whether size and rule adherence were acceptable
- what mistake or strong decision mattered most
Inputs and context
Ask for:
- instrument and direction
- original thesis
- planned entry, stop, target, and size
- actual entry, exit, and size
- whether rules were followed
- what happened around the trade
- lesson the user currently believes they learned
Analysis process
- Reconstruct the original plan before judging the outcome.
- Separate thesis quality from execution quality.
- Identify rule adherence or violations.
- Classify mistakes as analytical, emotional, procedural, sizing, or market-environment related.
- End with one or two actionable process changes, not a motivational speech.
Use references/review-rubric.md for the default rubric.
Output structure
Prefer this output order:
Original PlanExecution ReviewRule AdherenceMain Mistake Or Best DecisionProcess Change
Always include:
- original thesis summary
- setup quality assessment
- execution quality assessment
- what was done as planned
- what was not done as planned
- biggest mistake or best process decision
- one concrete lesson to carry forward
Best practices
- do not grade the trade only by PnL
- do not excuse broken process because the outcome happened to be positive
- do not rewrite the original thesis with hindsight
What ships with it
1 file 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.
- 12d ago First seen · 83 lines · 35 tokens per session scan A 1a2702bc00b7
post-trade-review is a skill published in the GitHub repository marian2js/trading-skills (11 stars, last pushed 5mo ago), licensed MIT. It adds 35 tokens to every session and 535 once invoked, about $0.0002 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
tushare
A Python interface for Tushare, a financial data service that provides market and company information for stocks, funds, futures, and digital assets. It returns queried data as pandas tables.
credit-analysis
A guide to analysing bonds and other fixed-income investments, including issuer credit quality, interest payments, default risk, credit spreads, and convertible bonds. It also covers Chinese fixed-income markets and local-government financing bonds.
social-media-intelligence
Social media intelligence: financial signal extraction from Twitter/X, Telegram, Discord, and Reddit for sentiment-driven trading strategies.
vibe-trading
Professional finance research toolkit — backtesting (10 engines + benchmark comparison panel), factor analysis, Alpha Zoo (462 pre-built alphas across qlib158/alpha101/gtja191/academic/fundamental), options pricing, 90 finance skills, 30 multi-agent swarm teams, Trade Journal analyzer, and Shadow Account (extract →…
etf-analysis
A framework for comparing exchange-traded funds (ETFs), which are funds bought and sold on a stock exchange and usually track an index, industry, asset, or strategy. It covers fees, how closely an ETF follows its target, trading activity, and portfolio use.
geopolitical-risk
Geopolitical risk analysis: quantify crisis signals, identify precursors, and build event-driven strategies for war, sanctions, and supply disruption scenarios.