prospective-hindsight

prospective-hindsight is a skill for Claude Code, Codex from yogsoth-ai/stress-test. It costs 30 tokens per session (602 once invoked), scanned A, original, Apache-2.0.

A pre-mortem method that assumes a plan or other piece of work has already failed, then lists plausible reasons why and ranks them by seriousness.

In plain words
What is it for?
Use it to generate, organise, and rank possible failure modes for plans, projects, research, or other work.
Why use it?
It helps teams notice failure scenarios before committing to a decision. Serious risks can then be passed into FMEA, a structured way to analyse how things might fail.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: mentions subagents.

Good fit Use it to generate, organise, and rank possible failure modes for plans, projects, research, or other work.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/yogsoth-ai/stress-test/prospective-hindsight
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 yogsoth-ai/stress-test --skill prospective-hindsight
Clone the repo
git clone --depth 1 https://github.com/yogsoth-ai/stress-test

Made for: Claude Code, Codex.

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 prospective-hindsight

README.md
[![agentmods](https://agentmods.dev/badge/skills/yogsoth-ai/stress-test/prospective-hindsight/github.svg)](https://agentmods.dev/skills/yogsoth-ai/stress-test/prospective-hindsight)
Your own site
<a href="https://agentmods.dev/skills/yogsoth-ai/stress-test/prospective-hindsight"><img src="https://agentmods.dev/badge/skills/yogsoth-ai/stress-test/prospective-hindsight/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 prospective-hindsight

Your own site · 80×15
<a href="https://agentmods.dev/skills/yogsoth-ai/stress-test/prospective-hindsight"><img src="https://agentmods.dev/badge/skills/yogsoth-ai/stress-test/prospective-hindsight.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 30 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 602 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.
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 $0.00030 $0.00602
Opus 5 $0.00015 $0.00301
Sonnet 5 $0.00006 $0.00120
Haiku 4.5 $0.00003 $0.00060

Measured 7d ago against content hash 93b871c4a3e6, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

prospective-hindsight 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 7d 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.

skills/prospective-hindsight/SKILL.md · 75 lines

How it starts

The opening of the file, as written. The whole thing — 75 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Prospective Hindsight Strategy

Assume the artifact has already failed. Retrospect: what went wrong?

Method

  1. premortem-facilitation frames the failure assumption
  2. Each participant generates independent failure scenarios
  3. failure-mode-extraction structures raw scenarios into failure mode list
  4. Scenarios are ranked by plausibility and severity
  5. High-risk items feed into FMEA pipeline (premortem-to-fmea-pipeline tactic)

Budget Table

Parameter S M L
Failure scenarios generated 8 20 40
Independent perspectives 2 4 6
Screening threshold (severity) 7 5 3

Orchestration

premortem-facilitation → failure-mode-extraction
  → severity-scoring (rapid screen)
  → [high-severity items] → premortem-to-fmea-pipeline

Subagents

  • premortem-facilitation (execute Klein protocol)
  • failure-mode-extraction (structure scenarios)
  • severity-scoring (rapid severity screen)

Available Tactics

Optional, no fixed order; the final leaf is always a sop.

Tactic When to use
failure-chain-tracing Tactic: Trace upstream causes and downstream effects of each failure mode. Builds multi-level cause-mode-effect chains for systemic understanding.
premortem-to-fmea-pipeline Tactic: Pre-mortem rapid screening feeds high-risk items into full FMEA analysis. Bridges fast intuitive generation with systematic structured analysis.

Available SOPs

Optional, no fixed order; the final leaf is always a sop.

SOP When to use
failure-mode-extraction Extract structured failure mode list from raw scenarios or artifact analysis. Produces standardized failure mode records.
premortem-facilitation Execute Klein pre-mortem protocol — assume failure has occurred, generate plausible failure scenarios through prospective hindsight.
severity-scoring Rate failure mode severity 1-10 based on end-effect impact. Follows AIAG-VDA severity scale calibrated for research artifacts.

Read the full file on GitHub · 75 lines

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. 7d ago First seen · 75 lines · 30 tokens per session scan A 93b871c4a3e6

Subscribe to this mod's changes

prospective-hindsight is a skill published in the GitHub repository yogsoth-ai/stress-test (2 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 30 tokens to every session and 602 once invoked, about $0.0002 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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