agents-evolution: Skill for Codex

.agents/skills/session-recall/SKILL.md

session-recall is a skill for Codex from kissrosecicd-hub/agents-evolution. It costs 78 tokens per session (1,141 once invoked), scanned A, original, MIT.

A recovery tool for finding and summarizing earlier Codex conversations from local history and session logs. It uses stored conversation records rather than assumed memory.

In plain words
What is it for?
Use it to find a previous session by date, project, keyword, or session identifier and summarize what happened.
Why use it?
It helps recover decisions, context, or unfinished work when the earlier conversation is no longer visible.

Skill for Codex

Written for Codex: reads ~/.codex or $CODEX_HOME. Also seen: installed under .agents/ (shared by several agents); mentions Codex.

This is kissrosecicd-hub/agents-evolution's own configuration. It tells Codex how to work on agents-evolution itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything agents-evolution configures →

Reuse

Borrowing it

Nothing to install: this file belongs to kissrosecicd-hub/agents-evolution. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/kissrosecicd-hub/agents-evolution/main/.agents/skills/session-recall/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/kissrosecicd-hub/agents-evolution

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 session-recall

README.md
[![agentmods](https://agentmods.dev/badge/skills/kissrosecicd-hub/agents-evolution/session-recall.svg)](https://agentmods.dev/skills/kissrosecicd-hub/agents-evolution/session-recall)
Your own site
<a href="https://agentmods.dev/skills/kissrosecicd-hub/agents-evolution/session-recall"><img src="https://agentmods.dev/badge/skills/kissrosecicd-hub/agents-evolution/session-recall.svg" alt="Measured on agentmods" height="20"></a>
Per session 78 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,141 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 $0.00078 $0.01141
Opus 5 $0.00039 $0.00571
Sonnet 5 $0.00016 $0.00228
Haiku 4.5 $0.00008 $0.00114

Measured 8d ago against content hash 43b6fdfd1379, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

session-recall 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 8d 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.

.agents/skills/session-recall/SKILL.md · 117 lines

How it starts

The opening of the file, as written. The whole thing — 117 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Session Recall

Use local Codex logs instead of claimed model memory. Base the answer only on files found under CODEX_HOME_DIR="${CODEX_HOME:-$HOME/.codex}".

Primary Files

  • $CODEX_HOME_DIR/history.jsonl: fastest way to see recent user messages and map them to session_id
  • $CODEX_HOME_DIR/session_index.jsonl: thread names and timestamps
  • $CODEX_HOME_DIR/sessions/YYYY/MM/DD/*.jsonl: full session transcripts
  • $CODEX_HOME_DIR/archived_sessions/*.jsonl: fallback for older moved sessions

Treat config.toml, state_*.sqlite, and logs_*.sqlite as fallback only. Conversation recall should usually come from history.jsonl and sessions/.../*.jsonl.

Quick Workflow

  1. Identify the selector the user gave: last, previous, specific date, date plus approximate time, keyword, project path, or session id.
  2. Start from history.jsonl to find candidate session_id values and the user's own wording.
  3. Open the matching sessions/.../*.jsonl file to reconstruct the conversation.
  4. Answer with exact date and time when possible, name the session file used, and summarize only what the logs show.
  5. If multiple sessions match, say that and present the nearest 2-3 candidates instead of guessing.

Common Retrieval Patterns

Last or Previous Session

Use:

CODEX_HOME_DIR="${CODEX_HOME:-$HOME/.codex}"
tail -n 40 "$CODEX_HOME_DIR/history.jsonl"
ls -1t "$CODEX_HOME_DIR"/sessions/*/*/*/*.jsonl 2>/dev/null | head -10

If the user asks for the previous session while already in a new chat, do not return the current session. Pick the most recent distinct earlier session_id.

Specific Day

Use the exact calendar date, not relative wording:

CODEX_HOME_DIR="${CODEX_HOME:-$HOME/.codex}"
ls -1 "$CODEX_HOME_DIR/sessions/YYYY/MM/DD"/*.jsonl 2>/dev/null
rg -n 'YYYY-MM-DD|keyword|session_id' "$CODEX_HOME_DIR/history.jsonl"

If the user says "yesterday" or "that day", convert it to an absolute date in the answer.

Approximate Time on a Day

Read the full file on GitHub · 117 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. 8d ago First seen · 117 lines · 78 tokens per session scan A 43b6fdfd1379

Subscribe to this mod's changes

session-recall is a skill published in the GitHub repository kissrosecicd-hub/agents-evolution (31 stars, last pushed 5mo ago), licensed MIT. It adds 78 tokens to every session and 1,141 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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