agentmods.dev

case-forensics

case-forensics is a skill for Codex from dzhokhov/markdown-agent-vault-ru. It costs 88 tokens per session (704 once invoked), scanned A, original, MIT.

A method for extracting a repeatable case study from long threads, comments, or chat discussions about AI work. It records the timeline, evidence, steps, results, limits, and missing information.

In plain words
What is it for?
Use it to reconstruct decisions and actions, map supporting evidence, document how to repeat the work, measure outcomes, and list questions that still need answers.
Why use it?
It turns scattered conversation into a method another person can follow and check. It also separates confirmed facts from assumptions and gaps.

Skill for Codex

Written for Codex: agents/openai.yaml present.

Needs its repository: it reads a path above its own folder, which exists only inside the repository. The line is Навигация: [Индекс скиллов](../README.md).

not rated 2repo 1mo ago A scan 88 tokens original MIT

Good fit Use it to reconstruct decisions and actions, map supporting evidence, document how to repeat the work, measure outcomes, and list questions that still need answers.

Compare 6 skills from other repositories ↓
View source ↗ dzhokhov/markdown-agent-vault-ru
Install

Getting it into your agent

It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.

Clone the repo
git clone --depth 1 https://github.com/dzhokhov/markdown-agent-vault-ru
agentmods
npx agentmods add skills/dzhokhov/markdown-agent-vault-ru/case-forensics

Made for: 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 case-forensics

README.md
[![agentmods](https://agentmods.dev/badge/skills/dzhokhov/markdown-agent-vault-ru/case-forensics/github.svg)](https://agentmods.dev/skills/dzhokhov/markdown-agent-vault-ru/case-forensics)
Your own site
<a href="https://agentmods.dev/skills/dzhokhov/markdown-agent-vault-ru/case-forensics"><img src="https://agentmods.dev/badge/skills/dzhokhov/markdown-agent-vault-ru/case-forensics/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 case-forensics

Your own site · 80×15
<a href="https://agentmods.dev/skills/dzhokhov/markdown-agent-vault-ru/case-forensics"><img src="https://agentmods.dev/badge/skills/dzhokhov/markdown-agent-vault-ru/case-forensics.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 88 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 704 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 $0.00088 $0.00704
Opus 5.5 $0.00035 $0.00282
Sonnet 5.5 $0.00018 $0.00141
Haiku 4.5 $0.00009 $0.00070

Measured 1mo ago against content hash f458ac81143b, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

case-forensics 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 1mo 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/case-forensics/SKILL.md · 100 lines

How it starts

The opening of the file, as written. The whole thing — 100 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Case Forensics

Навигация: Индекс скиллов

Overview

Преобразуй неструктурированное обсуждение в воспроизводимый кейс уровня инструкции.

Скилл отвечает за фазу thread -> evidence map -> method extraction -> reproducibility report.

Workflow

1) Parse Timeline

Восстанови хронологию:

  • кто действовал,
  • какие решения принимались,
  • какие изменения вносились,
  • что было результатом.

2) Build Evidence Map

Каждый тезис маркируй:

  • EVIDENCE — подтверждён сообщением/артефактом
  • ASSUMPTION — вывод без прямого доказательства
  • GAP — критично не хватает данных

3) Extract Method

Собери метод в последовательные шаги:

  • входные условия
  • действия
  • инструменты/промты
  • контроль качества
  • критерий завершения

4) Quantify Outcome

Зафиксируй:

  • метрики before/after
  • тип эффекта (время/деньги/качество/риск)
  • что не сработало

5) Reproducibility Score

Оцени воспроизводимость по контракту из case-data-contract:

  • input_completeness
  • method_specificity
  • artifact_availability
  • metric_verifiability

6) Prepare Final Case

Выдай:

  • структурированный кейс
  • инструкцию «как повторить за 120 минут»
  • блок GAP + вопросы для доуточнения из gap-interview-questions

Output

Возвращай разделы:

  1. Контекст и цель
  2. Исходные условия
  3. Метод (шаги)
  4. Материалы/промты/инструменты
  5. Результат и метрики
  6. Что не сработало
  7. Репликация за 120 минут
  8. Границы переносимости
  9. GAP и вопросы

Quality Gates

  • Нет шагов без входа/выхода.
  • Любая числовая метрика имеет источник в треде.
  • Любая гипотеза без подтверждения помечена как ASSUMPTION.
  • Есть явные ограничения применимости кейса.

Anti-Patterns

  • Не выдавать «историю успеха» как методологию.
  • Не скрывать провалы/ограничения.
  • Не подменять GAP догадками.

References

Read the full file on GitHub · 100 lines

Files

What ships with it

6 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. 1mo ago First seen · 100 lines · 88 tokens per session scan A f458ac81143b

Subscribe to this mod's changes

case-forensics is a skill published in the GitHub repository dzhokhov/markdown-agent-vault-ru (2 stars, last pushed 1mo ago), licensed MIT. It adds 88 tokens to every session and 704 once invoked, about $0.0004 per session on Opus 5.5. 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 2026-08-31.

Researchagent-skillsagentsmdai-agentsknowledge-managementmarkdownobsidian
Related

Other skills, from other repositories

pos-verify

Use this immediately after files are created, edited, moved, deleted, or materially rewritten inside PersonalOS. Verifies that new truth was routed to the correct owner, written in the correct file shape, and still follows POS conventions. Do NOT use for whole-vault deep audits; use system-health-check.

vincentmumme/personalos-boilerplate · 65 tokens

skillify

Use this when {{username}} asks to skillify a repeated workflow, determine whether it deserves a reusable PersonalOS skill, or harden an existing workflow into a tested resolver-reachable capability. Do NOT use for one-off notes, ordinary execution, or already-specified skill authoring; use write-skill.

vincentmumme/personalos-boilerplate · 66 tokens

write-skill

Use this when the user wants to create a new shared PersonalOS skill under skills/ or revise a specified PersonalOS skill and the scope is already clear. Do NOT use for raw workflow capture or deciding whether work should become a skill; use skillify first. Do NOT use for repo-local or agent-local skills unless…

vincentmumme/personalos-boilerplate · 78 tokens

priority-dashboard

Use this to rebuild, inspect, or temporarily steer {{username}}'s current PersonalOS priority dashboard from canonical Actions, Attention Triggers, and owner context. Do NOT use it to create, complete, or independently manage tasks; use task-manager for Action and Trigger lifecycle changes.

vincentmumme/personalos-boilerplate · 60 tokens

log

Use this when a PersonalOS work session, chat outcome, personal reflection, or provided source should be persisted into the modular Daily context and any already-owned canonical files. Do NOT use for single-call processing, single-source knowledge ingestion, Gmail/WhatsApp propagation, or Lexware booking.

vincentmumme/personalos-boilerplate · 59 tokens

task-manager

Use this when {{username}} or an agent wants to add, review, prioritize, complete, defer, park, or inspect todos, open loops, confirmed actions, waiting states, or attention triggers. Maintains atomic records under operations/actions/ and operations/attention-triggers/ as the only local action truth. Do NOT use for…

vincentmumme/personalos-boilerplate · 90 tokens