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.
npx skills add sidiangongyuan/codex-skills-library --skill codex-session-restoregit clone --depth 1 https://github.com/sidiangongyuan/codex-skills-libraryWrote 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.
[](https://agentmods.dev/skills/sidiangongyuan/codex-skills-library/codex-session-restore)<a href="https://agentmods.dev/skills/sidiangongyuan/codex-skills-library/codex-session-restore"><img src="https://agentmods.dev/badge/skills/sidiangongyuan/codex-skills-library/codex-session-restore/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.
<a href="https://agentmods.dev/skills/sidiangongyuan/codex-skills-library/codex-session-restore"><img src="https://agentmods.dev/badge/skills/sidiangongyuan/codex-skills-library/codex-session-restore.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00047 | $0.01446 |
| Opus 5.5 | $0.00019 | $0.00578 |
| Sonnet 5.5 | $0.00009 | $0.00289 |
| Haiku 4.5 | $0.00005 | $0.00145 |
Grade A, and why
codex-session-restore 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.
How it starts
The opening of the file, as written. The whole thing — 133 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Codex Session Restore
Use the bundled script first. It is dry-run by default and writes nothing unless
--apply is present.
Provider Direction Rule
Set --provider to the provider that Codex Desktop should recognize now, not
automatically to the provider that originally created the sessions.
- If the user switched from krill/custom to official OAuth and wants old active
sessions to appear under the current official login, use
--provider openai. - If the user explicitly wants to switch the environment back to krill and make
sessions belong to krill, use
--provider krill. - Do not edit
config.toml,auth.json, or cc-switch's current provider just to restore sidebar visibility. Changing current auth/provider is a separate user request.
Quick Start
Resolve <skill-dir> to the directory containing this SKILL.md; do not
assume a particular global skills installation root.
Restore old krill sessions into the current official/OAuth sidebar:
python "<skill-dir>/scripts/restore_codex_sessions.py" scan --provider openai
python "<skill-dir>/scripts/restore_codex_sessions.py" repair-active --provider openai
python "<skill-dir>/scripts/restore_codex_sessions.py" repair-active --provider openai --apply --yes
python "<skill-dir>/scripts/restore_codex_sessions.py" verify --provider openai
Repair one thread:
python "<skill-dir>/scripts/restore_codex_sessions.py" scan-thread --thread-id THREAD_ID --provider openai
python "<skill-dir>/scripts/restore_codex_sessions.py" repair-thread --thread-id THREAD_ID --provider openai
python "<skill-dir>/scripts/restore_codex_sessions.py" repair-thread --thread-id THREAD_ID --provider openai --apply
python "<skill-dir>/scripts/restore_codex_sessions.py" verify --thread-id THREAD_ID --provider openai
Use repair-active --provider PROVIDER --apply --yes only after a dry run
confirms the active non-archived session set is correct. Open turns newer than
30 minutes are treated as possibly active and are not closed unless
--close-recent-open-turns is explicitly present. Archived sessions stay
untouched unless --include-archived is explicitly present.
What ships with it
4 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.
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.
- 1mo ago First seen · 133 lines · 47 tokens per session scan A 413418899843
codex-session-restore is a skill published in the GitHub repository sidiangongyuan/codex-skills-library (24 stars, last pushed 1mo ago), licensed MIT. It adds 47 tokens to every session and 1,446 once invoked, about $0.0002 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.
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