Reconstruct

A recovery command for creating missing PAI session notes from conversation transcripts and Git history. Git history records changes made to a code project over time.

In plain words
What is it for?
Use it to rebuild notes for selected dates, preview what would be created, and optionally commit the new notes to Git.
Why use it?
It reconstructs a verifiable record when automatic note capture was missing or incomplete, without adding unsupported details.

Skill for Claude CodeCodex

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.

agentmods
npx agentmods add skills/mnott/pai/reconstruct
Any agent
npx skills add mnott/PAI --skill reconstruct
Clone the repo
git clone --depth 1 https://github.com/mnott/PAI

Made for: Claude Code, Codex.

Per session 79 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,080 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00079 $0.02080
Opus 5 $0.00039 $0.01040
Sonnet 5 $0.00016 $0.00416
Haiku 4.5 $0.00008 $0.00208

Measured 2d ago against content hash 0c09ac7b5386, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

Reconstruct 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 2d 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.

plugins/productivity/skills/Reconstruct/SKILL.md · 233 lines

How it starts

The opening of the file, as written. The whole thing — 233 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Reconstruct Skill

USE WHEN user says 'reconstruct sessions', 'rebuild session notes', 'recover session notes', 'retroactively create notes', 'create notes from git history', 'notes are missing', 'backfill session notes', 'reconstruct what we did', OR /reconstruct.

What This Skill Does

Reconstructs session notes for a PAI-registered project by reading:

  1. Git commit history (authoritative record of what was built)
  2. JSONL transcripts (user messages reveal intent, decisions, and context)

Generates one session note per day (or per logical session if multiple sessions existed in a day), numbered sequentially from the highest existing note number.

ONLY include what can be verified from git log and JSONL. Never invent or embellish content.


Arguments

Argument Default Description
--days N 7 Reconstruct notes for the last N days
--since YYYY-MM-DD Reconstruct from this date forward
--until YYYY-MM-DD today Reconstruct up to this date
--dry-run false Show what would be created without writing files
--commit false Git commit the created notes after writing

Pre-Action Check

Before starting, verify:

  1. Project is registered: Run pai project detect (or pai project list) to confirm the current project is known to PAI and get its Notes directory path.
  2. Notes directory exists: The target directory should be Notes/YYYY/MM/. Create it if absent.
  3. Find highest existing note number: Scan all Notes/**/*.md files for the pattern ^NNNN to find max note number. New notes continue from there.
  4. NEVER overwrite existing notes: If a note file already exists for that date/session, skip it and warn the user.

Step 1 — Find JSONL Files

Claude Code encodes project paths lossily: /, spaces, dots, hyphens all become -. A project may have been accessed from multiple base directories (e.g., ~/Daten/Cloud/Development/ai/PAI and ~/dev/ai/PAI both encode to different paths).

Read the full file on GitHub · 233 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. 2d ago First seen · 233 lines · 79 tokens per session scan A 0c09ac7b5386

Subscribe to this mod's changes

Reconstruct is a skill published in the GitHub repository mnott/PAI (45 stars, last pushed 8d ago), licensed MIT. It adds 79 tokens to every session and 2,080 once invoked, about $0.0004 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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