Skip to content
mcp/skillhub

Agent Skill

Premortem skill

premortemparcadei/Continuous-Claude-v3.claude/skills/premortem/SKILL.md

Identify failure modes before they occur using structured risk analysis

3.9kMIT

always on

14 tokname + description

once used

2,920 tokSKILL.md body

bundled files

0

repo stars

3.9kGitHub

Install the Premortem skill

Skills CLI (Claude Code, Codex, Cursor and others)

npx skills add https://github.com/parcadei/Continuous-Claude-v3 --skill premortem

Claude Code, by hand (all projects)

git clone --depth 1 https://github.com/parcadei/Continuous-Claude-v3.git /tmp/Continuous-Claude-v3
mkdir -p ~/.claude/skills
cp -R /tmp/Continuous-Claude-v3/.claude/skills/premortem ~/.claude/skills/premortem

For one project only, copy the folder into .claude/skills/ in that project instead. The agent picks it up when a task matches its description.

What it costs your context

Agent Skills load in three steps. Tokens counted with the o200k tokenizer; your model's count will differ a little.

WhenWhat loadsCost
Every sessionName and description14 tok
When the agent uses itThe SKILL.md instructions2,920 tok
Only if openedNo bundled files—

Until it is used, premortem costs about 97× less than the median MCP server we measured (1,363 tokens on every turn). Installing all 150 skills from parcadei/Continuous-Claude-v3 would load 2,175 tokens of descriptions. Skills vs MCP study

Checks

Our checks found nothing to flag: it follows the Agent Skills specification's naming and size guidelines and doesn't pipe downloads into a shell.

Pre-approved tools (allowed-tools): Read, Grep, Glob, Task, AskUserQuestion, TodoWrite. The agent can use these without asking while the skill is active.

Checked 2026-10-22 · method

What's inside

The headings of its SKILL.md. Read the full file on GitHub.

  • Pre-Mortem
  • Usage
  • Core Concept
  • Risk Categories (Shreyas Framework)
  • CRITICAL: Verify Before Flagging
  • The False Positive Problem
  • Verification Checklist (REQUIRED)
  • Required Evidence Format
  • Workflow
  • Step 1: Detect Context & Depth
  • Step 2: Run Appropriate Checklist
  • Step 3: Present Risks via AskUserQuestion
  • Step 4: Handle User Response
  • Step 5: Update Plan (if mitigations added)
  • Integration Points
  • In createplan / plan-agent
  • After plan approval, before implementation
  • In PR review workflows
  • Severity Thresholds
  • Example Session
  • References

More skills from parcadei/Continuous-Claude-v3

All skills in this repo
  1. agentica-claude-proxyparcadei/Continuous-Claude-v3

    Guide for integrating Agentica SDK with Claude Code CLI proxy

    3.9k19 tok idle · 1,005 in use
  2. agentica-infrastructureparcadei/Continuous-Claude-v3

    Reference guide for Agentica multi-agent infrastructure APIs

    3.9k14 tok idle · 686 in use
  3. agentica-promptsparcadei/Continuous-Claude-v3

    Write reliable prompts for Agentica/REPL agents that avoid LLM instruction ambiguity

    3.9k21 tok idle · 1,701 in use
  4. agentica-sdkparcadei/Continuous-Claude-v3

    Build Python agents with Agentica SDK - @agentic decorator, spawn(), persistence, MCP integration

    3.9k23 tok idle · 2,798 in use
  5. agentica-serverparcadei/Continuous-Claude-v3

    Agentica server + Claude proxy setup - architecture, startup sequence, debugging

    3.9k18 tok idle · 1,062 in use
  6. analytic-functionsparcadei/Continuous-Claude-v3

    Problem-solving strategies for analytic functions in complex analysis

    3.9k12 tok idle · 952 in use
  7. ast-grep-findparcadei/Continuous-Claude-v3

    AST-based code search and refactoring via ast-grep MCP

    3.9k17 tok idle · 673 in use
  8. banach-spacesparcadei/Continuous-Claude-v3

    Problem-solving strategies for banach spaces in functional analysis

    3.9k15 tok idle · 905 in use