Read Codex History logo

Read Codex History

CommunityPopular
daymade
read-codex-history

Reads, searches, and exports local OpenAI Codex history without continuing the old task. Lists recent Codex sessions, extracts exact prompt-ledger inputs by Session, locates a rollout by verified session_meta identity, reconstructs one chronological user/assistant timeline with fork and compaction lineage, and performs bounded keyword search across live and archived rollouts. Use whenever the user asks what they told Codex, wants recent original inputs, a Codex Session ID, full prior context, fork ancestry, or evidence of what a Codex run did. For Claude Code history use read-claude-code-history.

Overview

Publisherdaymade
Repositoryclaude-code-skills
Skill nameread-codex-history
Stars
1.4K
Forks
219
Bundled files
27
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 27 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by daymade on GitHub. Read the source before you install it.

Installation

Install the Read Codex History AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/daymade/claude-code-skills.git /tmp/claude-code-skills
mkdir -p .claude/skills
cp -r /tmp/claude-code-skills/daymade-claude-code/read-codex-history .claude/skills/read-codex-history
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Read Codex History in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Read Codex History on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Read Codex History is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Read Codex History

Read Codex evidence only. Do not continue the old task or change its project. If the user wants execution after the read is complete, pass the verified evidence to daymade-claude-code:continue-codex-work.

Codex has three different history surfaces

SurfaceAuthorityUse
<codex-home>/history.jsonlWhat the user submitted, keyed by Session ID and internal epoch timestampExact recent user-input tables
state_*.sqliteInventory metadata such as cwd, title, update time, and rollout pathFast listing and candidate discovery
sessions/**/rollout-*.jsonl and archived_sessions/**Full user/assistant/tool/compaction/fork event streamSession evidence, lineage, behavior audit, and keyword search

Do not substitute one surface for another. A prompt-ledger row proves what was submitted, not what the Agent answered. A state DB path is only a candidate until the rollout's session_meta.id matches. A rollout can exist without a prompt-ledger row, and a /fork prompt can exist without a child rollout.

Read references/storage_and_portability.md for source discovery, timestamps, writer-lock semantics, legacy Kimi compatibility, and storage failures. Read references/codex_rollout_format.md before interpreting fork snapshots, compaction, event streams, or end reasons.

Route by the requested result

User wantsUse
Recent Codex sessions, titles, IDs, or positive writer-lock evidencescripts/list_local_history.py --source codex
Exact recent user inputs from newest to oldest, grouped by Sessionscripts/list_codex_user_inputs.py
Whole-conversation original-input counts and quotations, including inherited historyscripts/reconcile_codex_inputs.py --session <ID>
Locate one exact rollout by internal identityscripts/analyze_sessions.py locate-codex <ID>
Reconstruct one Session and its declared parent snapshotsscripts/read_codex_session.py --session <ID>
Search full rollout events by keywordscripts/analyze_sessions.py search --codex-only
Continue after evidence is completeStop reading and invoke daymade-claude-code:continue-codex-work

The requested output wins over the motivation. “Show my recent original inputs” means a chronological raw-input table, not feedback classification, topic mining, an interactive app, or all historical sessions.

For “how many messages/feedback did I give in this conversation; list them verbatim,” read references/user_input_reconciliation.md. Use the reconciler to compose the existing ledger and strict lineage readers. It preserves occurrences, original strings, and source coordinates. Treat exit 2 or complete: false as an incomplete result: scope_input_count: null is not zero, and verified inputs are not a complete total. Review unmatched records against their actual source before supplying any hash-bound injection exclusion. State the counting unit and cutoff; do not call message counts a count of distinct criticisms. Keep ordinary recent-input requests on the ledger-only route.

Commands

Resolve scripts relative to this SKILL.md. Do not rebuild the join with ad-hoc SQLite, Node, jq, or recursive grep.

Recent inventory

text
<skill-dir>/scripts/list_local_history.py \
  --source codex --cwd <workspace> --limit 20 --language zh

Writer-lock output is positive-only: a held lock proves that exact advisory lock was held during the snapshot. It does not identify the process or prove liveness; an unmarked row does not prove the Session stopped.

Exact original inputs

text
# Global recent window, then group by Session
<skill-dir>/scripts/list_codex_user_inputs.py --recent 200 --language zh

# Expand exact Sessions already shown, preserving their order
<skill-dir>/scripts/list_codex_user_inputs.py \
  --session-id <ID-1> --session-id <ID-2> \
  --per-session 100 --language zh

Markdown is the human surface; JSON preserves the stored string value for forensic or machine use. Preserve duplicates, line order, timestamps, wording, and Session boundaries. Do not invent titles or split one Session into semantic categories.

Reconciled whole-conversation inputs

text
<skill-dir>/scripts/reconcile_codex_inputs.py --session <EXACT_ID> --format json

Use --through-record for an explicit inclusive cutoff in the selected session, and --omit-first / --omit-last only for exclusions the user actually requested. Neither option decides whether a message is an opening instruction or feedback. Use --format markdown for literal numbered quotations after resolving gaps. Read the linked reconciliation reference for result fields, reviewed exclusions, partial results, and deterministic fixture-only validation.

Exact Session evidence and lineage

text
<skill-dir>/scripts/read_codex_session.py --session <SESSION_ID> --full

Expected output: # Codex Session Evidence Briefing, verified selected identity, root-to-child fork lineage, exact parent byte boundaries, chronological handoff, compacted context, latest plan, tool calls, files, errors, end reason, and workspace state. If the state DB points to a rollout with the wrong identity, the reader must reject it and try the exact session_meta.id locator; never continue from the wrong file because its title or filename looked close. When live and archived copies share an ID, the reader accepts byte-identical copies or a strict append-only superset and otherwise fails as ambiguous. Every selected and inherited JSONL record is parsed strictly; malformed lines cannot become a complete-looking receipt.

If the complete briefing is too large for one model context, materialize it once to a private temporary file and record its SHA-256 plus line count before reading. That one immutable file is still the single briefing; “one briefing” does not mean one stdout payload or one monolithic context load. Read bounded, non-overlapping ranges using its existing headings or exact record coordinates, keep coverage against the recorded line count, and report every unread range as a gap. Do not rerun the reader with different truncation and fuse the outputs into a complete-looking chronology.

Bounded full-event search

Codex searches include native event_msg/item_completed command output as tool_result:CommandExecution. Stream output takes precedence over duplicate aggregate/formatted views. Matching item/call ID plus exact text deduplicates repeated results; equal output from different command IDs remains separate. User/assistant event mirrors continue to be excluded. Wrappers with unrelated IDs cannot be assumed to be mirrors merely because their text overlaps.

text
<skill-dir>/scripts/analyze_sessions.py search \
  --codex-only --all-projects --exclude-session <CURRENT_ID> \
  --from-date <YYYY-MM-DD> --to-date <YYYY-MM-DD> \
  '<keyword-1>' '<keyword-2>'

Start with exact ID, project, date, or known asset names. Broad scans have a stop-loss and must fail visibly rather than present partial results as complete. The exact-ID locator is seconds cheaper than a corpus scan.

Identity and lineage gate

Before making any behavior claim about a named Session:

  1. Verify the prompt-ledger Session ID if quoting user input.
  2. Locate rollout candidates by their internal session_meta.id, not filename alone.
  3. Parse the selected rollout and require session_meta.id == requested ID.
  4. For each fork edge, require the declared parent ID and exact history_base.end_byte_offset; reject missing, ambiguous, cyclic, or mismatched ancestry rather than reading the parent's current tail. A legacy rollout with no history_base that inlines its parent's session_meta as the very next record is instead verified record-for-record against the real parent file before its derived byte boundary is trusted.
  5. Report prompt-only or rollout-only gaps explicitly.

This gate is the direct correction for two observed cases: a prompt-ledger Session whose state DB pointed at another rollout, and a /fork input with no child rollout.

Read-result contract

Every answer must state:

  1. Sources read — prompt ledger, state DB, live/archive rollouts.
  2. Coverage — Session IDs, projects, internal time range.
  3. Result — the requested raw table, timeline, or matches.
  4. Identity/lineage status — verified, prompt-only, rollout-only, or mismatched.
  5. Gaps — malformed/unreadable sources, missing parents, omitted attachment bytes, timeouts, or scopes not searched.

“Not found” is scoped to this coverage. Do not call a timeout or incomplete scan a negative result.

Guardrails

  • Keep this Skill read-only; it does not resume, archive, rename, delete, or repair.
  • Do not run codex resume, codex --continue, or a new implementation experiment.
  • Do not load multi-megabyte rollouts directly into context; use the bundled reader.
  • Do not infer Session state or ownership from process names, cwd, or writer-lock absence.
  • Keep raw history local unless the user explicitly asks to share it.

Router and legacy compatibility

The current local-conversation-history is a cross-provider router; it sends a provider-specific Codex read here and does not replace this Skill's identity, lineage, or evidence contract. The older combined command contract remains in references/legacy_multi_provider_inventory.md so its Kimi branch and historical flags are not silently erased. Provider-specific Claude requests route to daymade-claude-code:read-claude-code-history.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Read Codex History AI skill do?

Reads, searches, and exports local OpenAI Codex history without continuing the old task. Lists recent Codex sessions, extracts exact prompt-ledger inputs by Session, locates a rollout by verified session_meta identity, reconstructs one chronological user/assistant timeline with fork and compaction lineage, and performs bounded keyword search across live and archived rollouts. Use whenever the user asks what they told Codex, wants recent original inputs, a Codex Session ID, full prior context, fork ancestry, or evidence of what a Codex run did. For Claude Code history use read-claude-code-hi...

Why use Read Codex History on TypingMind?

Because you install it once and use it with any model. Read Codex History is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Read Codex History in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/daymade/claude-code-skills/tree/main/daymade-claude-code/read-codex-history. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Read Codex History?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Read Codex History?

As many as you like. As long as a model supports skills, you can use Read Codex History with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Read Codex History AI skill free?

Yes. It is published on GitHub by daymade under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇