Getting it into your agent
This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.
/plugin marketplace add vynazevedo/first-plan/plugin install fpWrote 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/vynazevedo/first-plan/reconciliation)<a href="https://agentmods.dev/skills/vynazevedo/first-plan/reconciliation"><img src="https://agentmods.dev/badge/skills/vynazevedo/first-plan/reconciliation.svg" alt="Measured on agentmods" 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 | $0.00070 | $0.01595 |
| Opus 5 | $0.00035 | $0.00797 |
| Sonnet 5 | $0.00014 | $0.00319 |
| Haiku 4.5 | $0.00007 | $0.00160 |
Grade A, and why
first-plan-reconciliation 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 — 166 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Spec-Code Reconciliation
Núcleo do diferencial do first-plan. Resolve "Claude reimplementa o que ja existe" e "Claude executa spec já feita".
Statuses possíveis
NOT_STARTED -> intenção existe mas nenhum código relacionado
SPEC_ONLY -> documentação completa, zero implementação
IN_PROGRESS -> implementação parcial, branch ativa, ou TODOs visíveis
IMPLEMENTED -> código completo, com testes
DRIFTED -> código existe mas divergiu da spec
ABANDONED -> branch obsoleta + implementação parcial
Coleta de intenções
Fontes ordenadas por prioridade:
-
Documentação no repo:
docs/,specs/,requirements/,rfcs/- Arquivos
*.mdcom headings tipo "## Feature:", "## Requisito:", "## RFC" - README sections com "Roadmap", "Planned features", "TODO"
- CHANGELOG (entradas pré-release ou "Unreleased")
- ADRs (Architecture Decision Records)
-
Issue trackers via MCP:
- JIRA via
mcp__jira-mm__*(issues recentes do projeto, status != Done) - GitHub Issues via
mcp__github-work__list_issues - Linear, Asana se MCPs disponíveis
- JIRA via
-
Git artifacts:
- Branches com nome
feat/,feature/,wip/ - PR descriptions / templates
- Commits com tag
[FEAT]/feat:
- Branches com nome
-
Comentários no código:
// TODO: implement <X>// FIXME: this is partial// PLANNED: <feature>
Algoritmo de classificação
Para cada intenção coletada (chamada de "feature candidate"):
Passo 1 - Extrair termos-chave
Da descrição/título da intenção, extrair:
- Substantivos (entidades, ações)
- Identificadores prováveis (URLs, endpoints, nomes de classes)
- Stack-specific keywords (e.g., "endpoint POST /users" -> grep por POST /users)
Passo 2 - Buscar evidência no código
Para cada termo-chave:
- Grep símbolos: nomes de função, classe, tipo, route
- Grep arquivos: nomes de arquivo similar
- AST scan se a stack permite: identificar handlers HTTP que respondem ao endpoint da spec
- Grep testes: arquivos de teste mencionando o termo
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 · 166 lines · 70 tokens per session scan A bc0be76c9074
first-plan-reconciliation is a skill published in the GitHub repository vynazevedo/first-plan (23 stars, last pushed 13d ago), licensed MIT. It adds 70 tokens to every session and 1,595 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.
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