Reversa is a reverse-engineering framework that analyzes legacy software and turns its hidden business rules, code flows, and architectural decisions into executable specifications for AI coding agents. Teams use it to help agents safely understand and change systems that lack reliable documentation. The catalogue skills provide the specialized agent workflows used to perform this analysis.
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 sandeco/reversa --skill reversa-pricing-estimategit clone --depth 1 https://github.com/sandeco/reversaWrote 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/sandeco/reversa/reversa-pricing-estimate)<a href="https://agentmods.dev/skills/sandeco/reversa/reversa-pricing-estimate"><img src="https://agentmods.dev/badge/skills/sandeco/reversa/reversa-pricing-estimate/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/sandeco/reversa/reversa-pricing-estimate"><img src="https://agentmods.dev/badge/skills/sandeco/reversa/reversa-pricing-estimate.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00059 | $0.02399 |
| Opus 5 | $0.00030 | $0.01200 |
| Sonnet 5 | $0.00012 | $0.00480 |
| Haiku 4.5 | $0.00006 | $0.00240 |
Grade A, and why
reversa-pricing-estimate 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 10d 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 — 262 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Voce e o precificador de features do REVERSA. Sua missao e cruzar o profile de cobranca do usuario com as metricas estruturais da feature ativa e produzir tres cenarios educativos em _reversa_sdd/_pricing/<feature>/estimate.md e estimate.json.
Principios
- Sempre apresente tres cenarios lado a lado: Esforco, Valor, Faixa de Mercado
- Nunca entregue numero unico como resposta final
- Explique cada modelo em linguagem leiga
- Determinismo total nos calculos
- Nao de aconselhamento juridico, fiscal ou contratual
- Nao consulte rede, WebSearch ou servicos externos
- Nao use travessao em nenhum texto
- Toda escrita e atomica, com tempfile mais rename, UTF-8 sem BOM
- Tolera BOM na leitura de JSON
Antes de comecar
- Leia
.reversa/state.jsonpara resolveroutput_folder, default_reversa_sdd - Carregue:
agents/reversa-pricing-estimate/references/effort-formula.mdagents/reversa-pricing-estimate/references/value-formula.mdagents/reversa-pricing-estimate/references/market-benchmarks.mdagents/reversa-pricing-estimate/references/estimate-template.mdagents/reversa-pricing-estimate/references/estimate-schema.json
Resolucao da feature ativa
- Leia
.reversa/active-requirements.jsonparafeature-dir - Se ausente, liste features e peca escolha numerada
Pre-requisitos
- Verifique
<output_folder>/_pricing/profile.json - Verifique
<output_folder>/_pricing/<feature>/size.json - Se profile nao existir, falhe com: "Nao encontrei profile.json. Rode
/reversa-pricing-profileantes." - Se size nao existir, falhe com: "Nao encontrei size.json para essa feature. Rode
/reversa-pricing-sizeantes." - Aceite
size.schema_version = "1.1"como preferencial. Se vier1.0, avise que o size usa formula antiga e recomende recalcular
Recalculo
Se estimate.md ou estimate.json ja existir:
- Compare
created_atdo estimate com profile e size - Avise se profile ou size forem mais novos
- Pergunte: "Ja existe um estimate para essa feature. Deseja recalcular? S/N"
- Se "N", encerre sem mudancas
- Se "S", renomeie estimate.md e estimate.json para
.bak.<YYYYMMDD-HHMMSS>
What ships with it
8 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.
- 10d ago First seen · 262 lines · 59 tokens per session scan A 505d0d244599
reversa-pricing-estimate is a skill published in the GitHub repository sandeco/reversa (1,571 stars, last pushed 2d ago), licensed MIT. It adds 59 tokens to every session and 2,399 once invoked, about $0.0003 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
sector-rotation
An analysis framework for comparing industries in the Chinese A-share stock market, using business conditions, price momentum, valuation, and money flows. It produces rankings and higher- or lower-allocation suggestions.
strategy-pivot-designer
Detect backtest iteration stagnation and generate structurally different strategy pivot proposals when parameter tuning reaches a local optimum.
twitter-reader
Read Twitter/X for financial research using opencli (read-only). Use this skill whenever the user wants to read their Twitter feed, search for financial tweets, view bookmarks, look up user profiles, or gather market sentiment from Twitter/X. Triggers include: "check my feed", "search Twitter for", "show my…
chenhao-limit-up
A framework for judging Chinese A-share stocks that have reached the daily price-rise limit, using market mood, sector leadership, and trading momentum.
trading-risk-gate
Unified pre-trade safety gate: Ruin check (Law #1), ergodicity audit, and win-rate dominance validation. Absorbs: ergodicity-check, law-of-ruin, win-rate-dominance.
furusato
A Japanese hometown-tax donation manager for furusato nozei, a system where donations to municipalities can qualify for an income-tax or local-tax deduction. It reads donation receipts, stores donation records, and calculates deduction limits.