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 gnurio/nurijanian-skills --skill situation-retrospectivegit clone --depth 1 https://github.com/gnurio/nurijanian-skillsWrote 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/gnurio/nurijanian-skills/situation-retrospective)<a href="https://agentmods.dev/skills/gnurio/nurijanian-skills/situation-retrospective"><img src="https://agentmods.dev/badge/skills/gnurio/nurijanian-skills/situation-retrospective/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/gnurio/nurijanian-skills/situation-retrospective"><img src="https://agentmods.dev/badge/skills/gnurio/nurijanian-skills/situation-retrospective.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 | $0.00151 | $0.01217 |
| Opus 5 | $0.00076 | $0.00609 |
| Sonnet 5 | $0.00030 | $0.00243 |
| Haiku 4.5 | $0.00015 | $0.00122 |
Grade A, and why
situation-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 13d 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 — 121 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Situation Retrospective
Read references/pm-excellence-behaviors.md before beginning. You will map the PM's described
behavior against the 7 clusters in that file.
What This Mode Does
The PM describes a real situation. You ask enough questions to understand what actually happened (not just their interpretation), then you map their behavior against the excellence framework, surface what they got right, name what they missed, and give them 2-3 specific things to do differently next time.
The output should feel like getting feedback from a rigorous, honest colleague who was in the room — not like a generic coaching session.
Process
Step 1: Get the Situation
Ask the PM to describe the situation. If they've already described it, work with what they've given. You need to understand:
- What was the context? (team meeting, 1:1, cross-functional review, incident, etc.)
- Who was involved? (engineers, designers, leadership, stakeholders, etc.)
- What did the PM actually say or do? (get specifics — avoid abstract summaries)
- What happened as a result?
- What did the PM want to happen? Did it?
If the description is vague ("I had a hard conversation with my lead engineer"), ask one targeted follow-up: "Walk me through what you actually said, and what they said back."
Don't ask more than two follow-up questions before beginning your analysis. You don't need the complete picture to start seeing patterns.
Step 2: Map the Behavior
Silently (don't narrate this to the PM) map what they described against the 7 clusters:
Cluster 1: Communication — Did they champion the "why"? Did they translate leadership pressure into calm direction? Were they consistent in tone? Did they communicate openly or withhold?
Cluster 2: Decision Quality — Was the decision data-grounded? Customer-centric? Was the reasoning transparent to the team? Were they ruthless in prioritization?
Cluster 3: Team Empowerment — Did they delegate to the right experts? Did they protect team autonomy? Did they shorten feedback loops or create talkathons?
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.
- 13d ago First seen · 121 lines · 151 tokens per session scan A 81febce03d4e
situation-retrospective is a skill published in the GitHub repository gnurio/nurijanian-skills (107 stars, last pushed 1mo ago), licensed MIT. It adds 151 tokens to every session and 1,217 once invoked, about $0.0008 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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