Getting it into your agent
This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.
/plugin marketplace add vladolaru/claude-code-plugins/plugin install pirategoat-toolsWrote 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/vladolaru/claude-code-plugins/analyzing-codex-sessions)<a href="https://agentmods.dev/skills/vladolaru/claude-code-plugins/analyzing-codex-sessions"><img src="https://agentmods.dev/badge/skills/vladolaru/claude-code-plugins/analyzing-codex-sessions/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/vladolaru/claude-code-plugins/analyzing-codex-sessions"><img src="https://agentmods.dev/badge/skills/vladolaru/claude-code-plugins/analyzing-codex-sessions.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00082 | $0.05213 |
| Opus 5.5 | $0.00033 | $0.02085 |
| Sonnet 5.5 | $0.00016 | $0.01043 |
| Haiku 4.5 | $0.00008 | $0.00521 |
Grade A, and why
analyzing-codex-sessions 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 2mo 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 — 253 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Skill Directory
Resolve SKILL_DIR to the absolute directory containing this SKILL.md, as
shown by the current host, before using any bundled path below.
Before a shell command uses $SKILL_DIR, assign it in that command or replace
it with the resolved path. It is not a host-exported environment variable.
Analyzing Codex Raw Sessions
Overview
Codex CLI writes every thread — the root conversation and each subagent alike — as its own JSONL rollout file, one JSON object per line. Each line has a top-level type, and the two types that matter carry a nested payload.type that does the real discriminating.
Core principle: event_msg/item_completed is the digested layer; response_item is the raw layer. Analyze items first — they carry semantic types with timing and exit codes already attached. Drop to response_item only for prompt text and reasoning content.
A CommandExecution item hands you the command, its exit_code, and its duration in a single object. The equivalent question asked of response_item requires correlating a custom_tool_call with its custom_tool_call_output and reconstructing timing from entry timestamps. Start at the digested layer and stay there unless you need something it does not carry.
When to Use
- Analyzing what happened in a Codex run (commands, failures, file changes, cost)
- Reconstructing a thread tree — which subagents a root spawned and what each did
- Extracting metrics (tokens, wall duration, command counts, failure counts) across Codex threads
- Debugging why a Codex subagent failed or produced poor results
- Comparing Codex reviewer roles (
code-reviewer,php-tests-reviewer, …) across runs - Building or maintaining Codex rollout analysis scripts
Before You Start
| Your goal | Start here |
|---|---|
| Understand what a whole Codex run did | codex_session_analyzer.py — it resolves the root and walks its subagent tree for you |
| Analyze one thread you already have the id for | The rollout file whose name ends -{thread-id}.jsonl, then its item_completed entries |
| Find sessions for a specific project | Scan line 1 of each rollout in the date window and match session_meta.payload.cwd — there is no per-project directory |
| Compare metrics across threads or roles | codex_session_metrics.py |
| Debug a failing command | item_completed → CommandExecution items with non-zero exit_code; stderr and aggregated_output are inline |
| Recover the prompt text or the model's reasoning | response_item entries of type message and reasoning — items do not carry full prompts |
| Attribute cost to a thread | The last event_msg/token_count entry's info.total_token_usage |
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.
- 2mo ago First seen · 253 lines · 82 tokens per session scan A 764073648e17
analyzing-codex-sessions is a skill published in the GitHub repository vladolaru/claude-code-plugins (8 stars, last pushed 5d ago), licensed MIT. It adds 82 tokens to every session and 5,213 once invoked, about $0.0003 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 2026-09-03.
analyzing-codex-sessions compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| analyzing-codex-sessionsvladolaru/claude-code-plugins | Skill | 8 | 5d ago | MIT | A | 82 | Claude Code |
| imagegenopenai/codex | Skill | 135k | today | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 100k | today | Apache-2.0 | A | 19 | Claude Code |
| browser-automationopenclaw/openclaw | Skill | 394k | today | MIT | A | 36 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | 4d ago | MIT | A | 200 | Claude Code, Codex |
| systematic-debuggingobra/superpowers | Skill | 316k | 7d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | today | MIT | A | 95 | Claude Code |