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 andregusman-raiz/a-gusman-claude --skill ag-retrospectivagit clone --depth 1 https://github.com/andregusman-raiz/a-gusman-claudeWrote 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/andregusman-raiz/a-gusman-claude/ag-retrospectiva)<a href="https://agentmods.dev/skills/andregusman-raiz/a-gusman-claude/ag-retrospectiva"><img src="https://agentmods.dev/badge/skills/andregusman-raiz/a-gusman-claude/ag-retrospectiva/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/andregusman-raiz/a-gusman-claude/ag-retrospectiva"><img src="https://agentmods.dev/badge/skills/andregusman-raiz/a-gusman-claude/ag-retrospectiva.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 2 findings, 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 Excessive Agency · line 4 Skill selects an external model or provider that may use a different account or billing plan than the operator expects. Undisclosed model switches can cause unexpected cost or quota consumption.Fix: Remove the model/provider override or disclose it prominently and require explicit operator approval before invoking an external coding CLI or billed model.
- medium Rogue Agent · line 68 Skill establishes unauthorized persistence across sessions via cron jobs, startup scripts, or state files. Session persistence allows an attacker to maintain access beyond the current interaction.Fix: Remove any persistence mechanisms (cron jobs, startup scripts, state files). Skills should not maintain state across sessions without explicit user consent.
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 | $0.00055 | $0.01224 |
| Opus 5.5 | $0.00022 | $0.00490 |
| Sonnet 5.5 | $0.00011 | $0.00245 |
| Haiku 4.5 | $0.00006 | $0.00122 |
Grade A, and why
ag-retrospectiva 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 — 122 lines — stays where its author put it; the contents beside it link to each section on GitHub.
ag-retrospectiva — Retrospectiva
Spawn the ag-retrospectiva agent for end-of-session analysis and continuous improvement.
Invocation
Use the Agent tool with:
subagent_type:general-purposemode:autorun_in_background:trueprompt: Compose from template below
Prompt Template
Projeto: [CWD]
Analise a sessao atual e produza retrospectiva estruturada:
0. **Historico**: Leia retrospectivas anteriores em docs/ai-state/retrospectiva-*.md
Compare metricas atuais com sessoes passadas. Identifique tendencias.
1. **Tempo**: Quantos agentes foram invocados? Quantos commits?
Leia /tmp/claude-agent-log.txt e ~/.claude/metrics/agent-scorecard.jsonl se existirem.
2. **Falhas**: O que falhou? Quantas tentativas ate resolver?
3. **Decisoes**: Alguma decisao sub-otima? O que faria diferente?
4. **Patterns**: Algum pattern que se repetiu (positivo ou negativo)?
5. **Melhorias**: Sugestoes concretas para:
- Memory (informacao util para futuras sessoes)
- Skills (gaps encontrados, enriquecimentos necessarios)
- Hooks (protecoes que faltaram)
## Output
Escrever em docs/ai-state/retrospectiva-[data].md:
Retrospectiva — [data]
Metricas
- Agentes invocados: N
- Commits: N
- Falhas: N (resolvidas: N, pendentes: N)
O que funcionou
- ...
O que nao funcionou
- ...
Decisoes sub-otimas
- ...
Melhorias propostas
- [categoria]: [melhoria]
Baselines
After writing retrospective, update baselines:
- If
docs/ai-state/baselines.jsonexists, compare and update metrics - If not, create with current session as first baseline
- Track: avg agents/session, avg failures/session, avg commits/session
Important
- ALWAYS spawn as Agent subagent — do NOT execute inline
- Runs at end of long sessions (2h+) or on demand
- ALWAYS reads previous retrospectives for comparison (step 0)
- Writes retrospective doc AND updates baselines
Modo --instincts
Quando invocado com --instincts (ou ag-0 sugere via orchestrator-feedback-loop):
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.
- 1mo ago First seen · 122 lines · 55 tokens per session scan A 61a574b29fec
ag-retrospectiva is a skill published in the GitHub repository andregusman-raiz/a-gusman-claude (18 stars, last pushed 1mo ago), licensed MIT. It adds 55 tokens to every session and 1,224 once invoked, about $0.0002 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 2026-09-03.
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