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 vynazevedo/first-plan --skill provenance-trackergit clone --depth 1 https://github.com/vynazevedo/first-planWrote 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/provenance-tracker)<a href="https://agentmods.dev/skills/vynazevedo/first-plan/provenance-tracker"><img src="https://agentmods.dev/badge/skills/vynazevedo/first-plan/provenance-tracker/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/vynazevedo/first-plan/provenance-tracker"><img src="https://agentmods.dev/badge/skills/vynazevedo/first-plan/provenance-tracker.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 | $0.00064 | $0.02185 |
| Opus 5.5 | $0.00026 | $0.00874 |
| Sonnet 5.5 | $0.00013 | $0.00437 |
| Haiku 4.5 | $0.00006 | $0.00218 |
Grade A, and why
first-plan-provenance-tracker 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 1mo 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 — 282 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Provenance & Freshness Tracker
Cada finding em .first-plan/ precisa de rastreabilidade completa - de onde veio, quando foi extraído, quão fresca é a info, quando expira, e o que substitui.
Por que existe
Sem provenance, fatos viram lendas. Esta skill garante que toda afirmação em .first-plan/ tem cadeia auditável até o código fonte. Isso elimina:
- Context poisoning - fatos stale interpretados como atuais
- Hallucinated facts - findings sem fonte verificável
- Untrackable drift - quando um finding ficou errado e por quê
- No-op refreshes - regerar tudo quando só uma coisa mudou
Schema de proveniência
Cada item em .first-plan/ (em qualquer arquivo) ganha campos no frontmatter ou inline (YAML/Markdown):
---
finding_id: F-<unique> # identificador estavel (ex: F-go-errors-001)
type: pattern | fact | rule | risk | feature | reuse_item
section: <section path> # ex: 02-conventions/errors
source: # de onde veio
type: code | doc | git | mcp | inferred
location: path:line # arquivo:linha
commit_sha: <SHA> # commit em que foi observado
extracted_from: # contexto adicional
- <file_path>
- <file_path>
extracted_at: 2026-05-04T22:00:00Z
extracted_by: discovery-analyst | pattern-archeologist | reconciliation-auditor | manual
confidence:
initial: 0.95 # confiança no momento da extração
current: 0.92 # após decay (calculado)
signals_used: # o que sustenta o score
- "10+ occurrences in current code"
- "documented in CLAUDE.md"
- "consistent across modules"
ttl:
days: 30 # validade default
expires_at: 2026-06-03T22:00:00Z
decay_curve: linear | step | none
lifecycle:
status: active | superseded | invalidated | expired
superseded_by: F-<id> # se substituido por finding mais novo
superseded_at: <timestamp>
invalidated_reason: <text> # se marcado invalido manualmente
---
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.
- 1mo ago First seen · 282 lines · 64 tokens per session scan A 240f90413226
first-plan-provenance-tracker is a skill published in the GitHub repository vynazevedo/first-plan (24 stars, last pushed 1mo ago), licensed MIT. It adds 64 tokens to every session and 2,185 once invoked, about $0.0003 per session on Opus 5.5. 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
RecallMax
Enhances AI memory capabilities with long-context support.
agent-memory
Persistent memory system for AI coding agents. Use when you need to save facts about the user, store interaction preferences, log session events, or search previously saved memories. Triggers on remembering, saving context, recalling past decisions, or when the user says "remember this". Also use proactively when the…
snip
You are an expert at writing declarative YAML filters for snip, a CLI proxy that reduces LLM token consumption by filtering shell output.
arch-check
An architecture and implementation review tool that examines how a codebase is modeled, divided into responsibilities, organized into modules, and connected by dependencies. It also checks for issues such as circular dependencies, over-design, and violations of common design principles.
gh-merge
Completes the AgentsMesh GitHub pull-request workflow: commits scoped changes, rebases on the authoritative GitHub branch, opens or reuses a PR, monitors required checks, fixes failures, and merges only after verification. Use when the user asks to merge, submit, or land repository changes.
github-gitlab-mirror
Audits or synchronizes the authoritative GitHub main branch to the internal GitLab mirror without importing GitLab-only history back into GitHub. Use when checking GitHub/GitLab consistency, updating the internal mirror, or resolving a divergence between the two remotes.