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 agentmods add skills/omnigentx/jarvis/retrospectivenpx skills add omnigentx/jarvis --skill retrospectivegit clone --depth 1 https://github.com/omnigentx/jarvisWrote 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/omnigentx/jarvis/retrospective)<a href="https://agentmods.dev/skills/omnigentx/jarvis/retrospective"><img src="https://agentmods.dev/badge/skills/omnigentx/jarvis/retrospective.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 | $0.00011 | $0.00296 |
| Opus 5 | $0.00005 | $0.00148 |
| Sonnet 5 | $0.00002 | $0.00059 |
| Haiku 4.5 | $0.00001 | $0.00030 |
Grade A, and why
retrospective 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 6d 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.
What it actually says
Retrospective Skill
The sprint is complete. Write your retrospective lessons learned.
Output
Write your retrospective to: retrospective/<your_agent_name>_lessons.md
Template
# Retrospective — <Your Agent Name>
## What Went Well
- <Specific things that worked effectively>
- <Reference actual work done, files created, decisions made>
## What Could Be Improved
- <Specific challenges encountered>
- <Things that slowed you down or caused rework>
## Suggestions for the Team
- <Process improvements>
- <Communication improvements>
- <Tool or workflow suggestions>
## Key Learnings
- <Technical insights gained during this sprint>
- <Patterns to reuse in future sprints>
- <Anti-patterns to avoid>
## Action Items for Next Sprint
| # | Action | Owner |
|---|--------|-------|
| 1 | <specific improvement> | <agent name> |
Guidelines
- Be specific — reference actual files, decisions, and outcomes from the workspace
- Be honest — constructive criticism helps the team improve
- Be actionable — every "could be improved" should have a suggestion
- Read others' work — check workspace files to understand what the full team accomplished
- Don't blame — focus on processes, not people
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.
- 6d ago First seen · 50 lines · 11 tokens per session scan A 4a604036ae7e
retrospective is a skill published in the GitHub repository omnigentx/jarvis (36 stars, last pushed 10d ago), licensed MIT. It adds 11 tokens to every session and 296 once invoked, about $0.0001 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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