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 opendatahub-io/ai-helpers --skill create-delivery-postmortemgit clone --depth 1 https://github.com/opendatahub-io/ai-helpersWrote 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/opendatahub-io/ai-helpers/create-delivery-postmortem)<a href="https://agentmods.dev/skills/opendatahub-io/ai-helpers/create-delivery-postmortem"><img src="https://agentmods.dev/badge/skills/opendatahub-io/ai-helpers/create-delivery-postmortem/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/opendatahub-io/ai-helpers/create-delivery-postmortem"><img src="https://agentmods.dev/badge/skills/opendatahub-io/ai-helpers/create-delivery-postmortem.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 | $0.00055 | $0.02573 |
| Opus 5 | $0.00028 | $0.01287 |
| Sonnet 5 | $0.00011 | $0.00515 |
| Haiku 4.5 | $0.00006 | $0.00257 |
Grade A, and why
create-delivery-postmortem 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.
How it starts
The opening of the file, as written. The whole thing — 205 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Post-Mortem Create Skill
Facilitate writing a structured post-mortem document for release delays and delivery incidents. The skill gathers context from the user, synthesizes narrative sections, facilitates an interactive Five Whys root cause analysis, and produces an executive-ready document.
Arguments
- title (required): Short incident name (e.g., "ROCm RPM Delay")
- release (optional): Target release milestone (e.g., "3.5 EA2", "4.0 GA")
- priority (optional): critical / high / medium / low
- format (optional, default: html): Output format —
htmlormarkdown
Example: /create-delivery-postmortem title="ROCm RPM Delay" release="3.5 EA2" priority="high"
Steps
When invoked:
Phase 1: Context Gathering
-
Prompt for context. Tell the user what input is most valuable, in this order of usefulness:
- Slack threads or conversations — paste directly. These are the richest source for building timelines and identifying who knew what and when.
- JIRA ticket IDs — look these up for context (committed dates, status changes, comments).
- Committed delivery dates — when was something promised, and by whom?
- Key people involved — who owned the deliverable, who raised the risk, who responded.
- Meeting notes or email excerpts — especially anything documenting commitments or escalations.
- Free-form narrative — the user's own understanding of what happened.
Say: "Paste whatever you have — Slack threads, JIRA ticket IDs, notes, narrative. The most useful things are conversations that show when risks were raised and committed delivery dates. Send as many messages as you need. Say 'done' when you've shared everything."
Accept input across multiple messages until the user signals completion.
-
Synthesize narrative sections. From the gathered context, draft:
- Postmortem Summary: Incident name, author (from
git config user.name, confirm with user), priority, target release. - Executive Summary: One paragraph — what happened, what the impact was, what was learned. Written for a Director-level audience who needs the picture in 30 seconds.
- Leadup: Sequence of events leading to the incident. Use specific dates and actors.
- Impact: Potential or observed delivery impact. Be specific about what was delayed, by how long, and what downstream was affected.
- Detection and Timeline: When the team detected or raised the risk. Name people, communication channels (Slack, email, meeting), and timestamps.
- Response: Who responded and what was done at each stage. Include delays or obstacles to responding. Be specific about handoffs.
- Recovery: When the incident was resolved. Describe how time-to-mitigation could have been improved.
- Postmortem Summary: Incident name, author (from
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.
- 6d ago First seen · 205 lines · 55 tokens per session scan A 217cccf7e9b2
create-delivery-postmortem is a skill published in the GitHub repository opendatahub-io/ai-helpers (37 stars, last pushed 2d ago), licensed Apache-2.0. It adds 55 tokens to every session and 2,573 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 2026-09-03.
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