Agent skill

Decision Forensics

by mohitagw15856 in mohitagw15856/pm-claude-skills

Reconstruct the decision actually made in a messy Slack, email, or meeting thread into a proper decision record — commitments named, silent assumptions surfaced, non-decisions called out.

MITAuto-check passed

Install Decision Forensics

skills CLI
$ npx skills add mohitagw15856/pm-claude-skills --skill decision-forensics -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install mohitagw15856/pm-claude-skills decision-forensics --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/mohitagw15856/pm-claude-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/decision-forensics .claude/skills/decision-forensics && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
decision-forensics
GitHub stars
1.4k
Token cost
~1.2k tokens
SKILL.md length
548 words
Files
2 (incl. references)
Skills in repo
1,348
Repo updated
First seen
Licence
MIT

At a glance

Reconstruct the decision actually made in a messy Slack, email, or meeting thread into a proper decision record — commitments named, silent assumptions surfaced, non-decisions called out.

  • Works in 5 steps: Anchor — find the moments where… → Attribute — every claim about a person… → Excavate assumptions — what must… → …
  • Asked what did we actually decide
  • SKILL.md covers What This Skill Produces, Required Inputs, Framework: The Forensic Protocol and Output Format, plus 8 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Decision Forensics is an agent skill from mohitagw15856/pm-claude-skills. Reconstruct the decision actually made in a messy Slack, email, or meeting thread into a proper decision record — commitments named, silent assumptions surfaced, non-decisions called out. Use when asked what did we actually decide, turn this thread into a decision record, who committed to what, or reconstruct this discussion. Produces a decision record with quoted evidence, a commitments table, reconstructed assumptions, dismissed options, and a confidence note on the reconstruction itself.

Its SKILL.md is about 1.2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including reference files (for example `references/worked-example.md`).

It works with Slack. The repository describes itself as: 1255 professional Agent Skills for Claude, ChatGPT, Gemini, Cursor & Codex — PRDs, postmortems, leases, medical bills, layoffs, go-bags, new countries. Plain markdown, MIT, in… The licence is MIT.

When your agent uses it

  • Asked what did we actually decide
  • Turn this thread into a decision record
  • Who committed to what
  • Reconstruct this discussion

Example prompts

  • “/decision-forensics”

Workflow steps

5 steps, taken from the first numbered list in SKILL.md.

  1. Anchor — find the moments where direction changed hands: an approval word ("ship it", "fine, let's"), an unobjected proposal followed by…
  2. Attribute — every claim about a person gets a verbatim quote or close paraphrase with the original wording nearby. No quote, no attribution.
  3. Excavate assumptions — what must everyone have believed for the exchange to make sense? Label each [reconstructed] — these were never said.
  4. Separate resolved from papered-over — a question answered vs a question abandoned when someone changed the subject. The second list is…
  5. Grade the reconstruction — HIGH (explicit approval by named authority) · MEDIUM (unobjected proposal + consistent action) · LOW (inferred…

What it can do on your machine

Read from SKILL.md and the folder at commit 1cbf1f0. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Decision Forensics loads about 1.2k tokens when it runs, and up to ~2.2k if it reads all its reference files. Until then it costs about 129 tokens; SKILL.md has 548 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~129
When it runs · the whole SKILL.md, loaded when a task matches
~1.2k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~2.2k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from mohitagw15856/pm-claude-skills at commit 1cbf1f0, republished under its MIT licence (© mohitagw15856). 548 words, ~1,163 tokens.

Download SKILL.mdSave it as .claude/skills/decision-forensics/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
decision-forensics
description
Reconstruct the decision actually made in a messy Slack, email, or meeting thread into a proper decision record — commitments named, silent assumptions surfaced, non-decisions called out. Use when asked what did we actually decide, turn this thread into a decision record, who committed to what, or reconstruct this discussion. Produces a decision record with quoted evidence, a commitments table, reconstructed assumptions, dismissed options, and a confidence note on the reconstruction itself.

Decision Forensics Skill

Most decisions are never stated — they precipitate out of a thread and everyone leaves with a different memory of them. This skill is the forensic pass: what was actually decided (if anything), who committed to what, and which disagreements got papered over rather than resolved. (To write a fresh decision going forward, use architecture-decision-record; this skill reconstructs one from the wreckage.)

What This Skill Produces

  • The decision, stated cleanly — one sentence, even though nobody ever said it in one sentence — or the finding "no decision was reached"
  • The commitments table — who agreed to do what, with the quote that binds them
  • Reconstructed assumptions — what everyone silently took as true, labeled as reconstructed
  • Dismissed options and papered-over questions — what was set aside, and what was never actually resolved
  • A confidence note — how solid this reconstruction is and where it's guessing

Required Inputs

Ask for these if not provided:

  • The thread — Slack export, email chain, or meeting notes/transcript (paste; timestamps and names preserved if possible)
  • The cast (optional) — who's who: roles and decision authority; else infer from context and label
  • What prompted the forensics (optional) — a dispute, an audit, onboarding someone — shapes emphasis, never conclusions

Framework: The Forensic Protocol

  1. Anchor — find the moments where direction changed hands: an approval word ("ship it", "fine, let's"), an unobjected proposal followed by action talk, or authority going silent after a suggestion (silence + subsequent action = the most common decision form).
  2. Attribute — every claim about a person gets a verbatim quote or close paraphrase with the original wording nearby. No quote, no attribution.
  3. Excavate assumptions — what must everyone have believed for the exchange to make sense? Label each [reconstructed] — these were never said.
  4. Separate resolved from papered-over — a question answered vs a question abandoned when someone changed the subject. The second list is usually the valuable one.
  5. Grade the reconstruction — HIGH (explicit approval by named authority) · MEDIUM (unobjected proposal + consistent action) · LOW (inferred from fragments). State it.
Show full SKILL.md (220 more words)Show less

Output Format


Decision Record (reconstructed): [one-sentence decision]

Source: [thread, date range] · Reconstruction confidence: HIGH/MEDIUM/LOW — [why]

The Decision

[One sentence. Or: "No decision was reached. The thread ends with X unresolved; subsequent action, if any, happened without recorded agreement."]

Commitments

WhoCommitted toThe binding quoteBy when

Assumptions (all [reconstructed])

  • …

Options Dismissed

OptionDismissed by/whenStated reasonActually resolved?

Papered Over

[Questions raised and abandoned — each with who raised it and where the thread swerved.]


Quality Checks

  • Every attribution carries a quote or near-paraphrase with original wording nearby
  • Assumptions are labeled [reconstructed] — never presented as things people said
  • The confidence grade matches the evidence type (explicit / unobjected / inferred)
  • Papered-over questions are listed separately from resolved ones
  • If no decision was reached, the record says so plainly

Anti-Patterns

  • Do not attribute positions beyond what the text supports — quote it or drop it
  • Do not resolve ambiguity by inventing agreement — surfacing the ambiguity IS the deliverable
  • Do not clean a non-decision into a decision; "no decision was reached" is a valid, common, and useful finding
  • Do not editorialize about who was right — forensics reconstructs; it doesn't adjudicate
  • Do not omit the confidence note — a reconstruction that hides its own uncertainty is fabrication with footnotes

Example Trigger Phrases

  • "What did we actually decide?"
  • "Turn this thread into a decision record."
  • "Reconstruct this discussion."

© mohitagw15856, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 1 other file (references) in skills/decision-forensics of mohitagw15856/pm-claude-skills.

  • SKILL.md
  • references/worked-example.md

Open the folder on GitHubat commit 1cbf1f0

Compare with similar skills

Decision Forensics next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Decision Forensics compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Decision Forensics this skillmohitagw15856/pm-claude-skills1.4k—~1.2kAutomated safety check: PassMIT
Agent Browser CLIvercel-labs/agent-browser44k24 repos~864Automated safety check: PassApache-2.0
Slack GIF Creatoranthropics/skills180k29 repos~2kAutomated safety check: PassApache-2.0
Code Design Rationale Investigatorcursor/plugins11k9 repos~2.6kAutomated safety check: PassNone
Electron App Automationvercel-labs/agent-browser44k5 repos~1.7kAutomated safety check: PassApache-2.0
Slack Browser Automationvercel-labs/agent-browser44k1 repos~2.1kAutomated safety check: PassApache-2.0

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Works with

Questions about Decision Forensics

What does Decision Forensics do?

Reconstruct the decision actually made in a messy Slack, email, or meeting thread into a proper decision record — commitments named, silent assumptions surfaced, non-decisions called out. Decision Forensics is an agent skill from mohitagw15856/pm-claude-skills. Reconstruct the decision actually made in a messy Slack, email, or meeting thread into a proper decision record — commitments named, silent assumptions surfaced, non-decisions called out.

When should I use Decision Forensics?

Decision Forensics fits situations like: asked what did we actually decide; turn this thread into a decision record; who committed to what; reconstruct this discussion.

How do I install Decision Forensics in Claude Code?

Run `npx skills add mohitagw15856/pm-claude-skills --skill decision-forensics -a claude-code`. Or copy the skill folder (skills/decision-forensics in mohitagw15856/pm-claude-skills) into .claude/skills/decision-forensics in your project. Claude Code loads it when a task matches its description.

How do I install Decision Forensics in Codex?

Run `npx skills add mohitagw15856/pm-claude-skills --skill decision-forensics -a codex`. Or copy the skill folder (skills/decision-forensics in mohitagw15856/pm-claude-skills) into .agents/skills/decision-forensics in your project. Codex loads it when a task matches its description.

Can I use Decision Forensics in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add mohitagw15856/pm-claude-skills --skill decision-forensics -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/decision-forensics, .gemini/skills/decision-forensics, .github/skills/decision-forensics and .opencode/skills/decision-forensics in your project.

What does Decision Forensics need to run?

SKILL.md names no scripts, command-line tools or credentials: Decision Forensics is instructions for the agent only.

Does Decision Forensics access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Decision Forensics safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Decision Forensics use?

Decision Forensics is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Decision Forensics use?

About 1.2k tokens (SKILL.md is roughly 4.7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 1k tokens, read only when the agent opens those files.

What are the alternatives to Decision Forensics?

Skills that share tags, products or a category with Decision Forensics: Agent Browser CLI (vercel-labs/agent-browser, 44k stars), Slack GIF Creator (anthropics/skills, 180k stars), Code Design Rationale Investigator (cursor/plugins, 11k stars) and Electron App Automation (vercel-labs/agent-browser, 44k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Decision Forensics?

mohitagw15856 (a GitHub user) maintains it in mohitagw15856/pm-claude-skills, which has 1,434 GitHub stars. The repository holds 1,348 skills in this directory. The repository was last updated on October 9, 2026.

Source: mohitagw15856/pm-claude-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.