project-retrospective

project-retrospective is a skill for Claude Code, Codex from jamditis/claude-skills-journalism. It costs 26 tokens per session (2,487 once invoked), scanned A, original, MIT.

A project-closing workflow that writes a LESSONS.md file describing what happened, what failed, and what the team learned. It records the surrounding system and circumstances instead of blaming only individuals.

In plain words
What is it for?
Use it to document lessons from completed projects, incidents, or investigations, especially the decisions and conditions behind failures.
Why use it?
It preserves useful knowledge after a project or investigation, including mistakes that might otherwise be forgotten or repeated.

Skill for Claude CodeCodex

Written for Claude Code and Codex: shipped in a Claude Code plugin, but also agents/openai.yaml present.

Part of the project-templates-toolkit plugin — 3 skills shipped together

Good fit Use it to document lessons from completed projects, incidents, or investigations, especially the decisions and conditions behind failures.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/jamditis/claude-skills-journalism/project-retrospective
Install

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.

Any agent
npx skills add jamditis/claude-skills-journalism --skill project-retrospective
Clone the repo
git clone --depth 1 https://github.com/jamditis/claude-skills-journalism

Made for: Claude Code, Codex.

Or install project-templates-toolkit, the plugin that ships this one along with the rest of its 3 skills.

Wrote 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.

agentmods badge for project-retrospective

README.md
[![agentmods](https://agentmods.dev/badge/skills/jamditis/claude-skills-journalism/project-retrospective/github.svg)](https://agentmods.dev/skills/jamditis/claude-skills-journalism/project-retrospective)
Your own site
<a href="https://agentmods.dev/skills/jamditis/claude-skills-journalism/project-retrospective"><img src="https://agentmods.dev/badge/skills/jamditis/claude-skills-journalism/project-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.

agentmods 80×15 button for project-retrospective

Your own site · 80×15
<a href="https://agentmods.dev/skills/jamditis/claude-skills-journalism/project-retrospective"><img src="https://agentmods.dev/badge/skills/jamditis/claude-skills-journalism/project-retrospective.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 26 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,487 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00026 $0.02487
Opus 5 $0.00013 $0.01243
Sonnet 5 $0.00005 $0.00497
Haiku 4.5 $0.00003 $0.00249

Measured 12d ago against content hash 3ca035b9376f, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

project-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 12d 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.

project-templates-toolkit/skills/project-retrospective/SKILL.md · 260 lines

How it starts

The opening of the file, as written. The whole thing — 260 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Project retrospective writer

Create LESSONS.md files that capture institutional knowledge, especially failures. Think like a journalist writing about your own project, be specific, be honest, name the actual mistakes.

Frame the retrospective: blame-aware, not pure-blameless

The 2024–2026 consensus in incident-analysis writing (PagerDuty, J. Paul Reed, Lorin Hochstein) is that pure blamelessness is neurobiologically unrealistic, humans default to blame. Healthier framing: acknowledge the blame bias exists and counter it deliberately. Source: https://postmortems.pagerduty.com/culture/blameless/

Cognitive biases to counter explicitly:

  • Fundamental attribution error, blaming individuals for failures the system permitted
  • Confirmation bias, looking for evidence that confirms a pre-formed narrative
  • Hindsight bias, judging past decisions by knowledge that wasn't available at the time
  • Negativity bias, over-weighting what went wrong vs. what worked

The voice rule isn't "no blame", it's "name the system that permitted the human action, not just the action."

Drop the single-root-cause framing

Allspaw's canonical critique (still the dominant view in 2024–2026) calls Five Whys / single-root-cause analysis "seductively satisfying and compellingly simple, but false." It locks analysts into a linear causal chain that terminates in individual blame. Source: https://www.kitchensoap.com/2014/11/14/the-infinite-hows-or-the-dangers-of-the-five-whys/

Use "how" narratives instead, gathering on four prompts:

  • Cues, what signals were available, who saw them when?
  • Interpretation, how did people make sense of those signals?
  • Goals, what were people trying to accomplish?
  • Taking action, what did they do, and what did they expect to happen?

The retrospective's job is to surface contributing factors, not declare a root cause.

When to run a retrospective

Pre-define triggers before incidents happen, not after. Google SRE specifies criteria: user-visible downtime past a threshold, any data loss, on-call rollbacks, monitoring failures requiring manual discovery, stakeholder request. Source: https://sre.google/sre-book/postmortem-culture/

Read the full file on GitHub · 260 lines

Files

What ships with it

5 files 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.

Changes

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.

  1. 12d ago First seen · 260 lines · 26 tokens per session scan A 3ca035b9376f

Subscribe to this mod's changes

project-retrospective is a skill published in the GitHub repository jamditis/claude-skills-journalism (391 stars, last pushed 4d ago), licensed MIT. It adds 26 tokens to every session and 2,487 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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