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Mentor

mentor — a session-insights skill for AI coding agents. This skill reads your local Claude Code and OpenAI Codex history and writes an /insights-style HTML report on how you work: what you build, where you lose time, and concrete fixes. An agent skill for Claude Code, Codex, and any skills-capable agent.

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Price unconfirmed★ 78 GitHub starsRegistry updated · Sep 7, 2026claude-code codex session-analysis

Overview

An agent skill that reads local Claude Code and Codex session history to generate an HTML report with insights on workflow, friction points, and improvements.

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Mentor — /insights-style report on how you work with agents

Why this exists

Agents now do what juniors used to. But juniors became seniors by getting feedback from seniors. Give agents to juniors and fire the seniors, and nobody gets that feedback loop anymore. This skill is that loop: it reads your own local session history and hands back a single report — what you build, where you lose time, and concrete changes to get better. Effectiveness, not token-golf.

The deliverable is the rendered report.html file — always. The eight-section analysis is intermediate: it goes into analysis.json and gets rendered, never pasted into chat. A wall of analysis text in the reply is the failure this skill exists to fix. If you cannot run the scripts, say so plainly — do not substitute a text summary. Modeled on Claude Code's built-in /insights.

Agents

Agent	arg	Logs
Claude Code	`claude`	`~/.claude/projects/<slug>/<uuid>.jsonl`
OpenAI Codex	`codex`	`~/.codex/sessions/*/rollout-.jsonl` (+ `~/.codex/archived_sessions/`)
both	`both` (default)	union of the two

Workflow — build the report

Collect every session in the window into one stats bundle (deterministic):
```
uv run --no-project python ~/.claude/skills/mentor/scripts/collect.py \
  --agent <claude|codex|both> --days <N> --out /tmp/mentor-stats.json
```
Default --agent both --days 30. It writes stats.json and prints a compact digest: headline numbers, tool mix, languages, projects, and every session's verbatim first prompt. Read that digest — it is your evidence.
Analyze into eight sections. Read references/best-practices.md for the canon, then write /tmp/mentor-analysis.json (schema in scripts/render_report.py header). Ground every claim in the digest (numbers, project names, prompt patterns). The eight sections, mirroring /insights:
- what_you_work_on — sessions clustered into themes, with rough share.
- how_you_use — patterns: tool ratios (Bash/exec vs Read), languages, both-agent split, checkpoints.
- impressive — real wins, handed back.
- friction — where time leaks. Each: problem, evidence, concrete fix. This section earns the report.
- features_to_try — existing features they under-use.
- claude_md_additions — copy-paste CLAUDE.md lines that kill a recurring friction.
- new_ways — new ways to use the agent(s).
- on_the_horizon — where the workflow is heading. Also write a summary that does not flatter — name what is hindering them.

Render the self-contained HTML:

uv run --no-project python ~/.claude/skills/mentor/scripts/render_report.py \
  --stats /tmp/mentor-stats.json --analysis /tmp/mentor-analysis.json \
  --out ~/.claude/usage-data/mentor-report.html

Deliver the file. Open or hand over ~/.claude/usage-data/mentor-report.html: in Claude Code use SendUserFile with display render; in Codex or a shell, open it (open <path>) and print the path. Then add at most two spoken lines: the single highest-leverage fix. The report carries the detail; the chat does not repeat it.

Quick single-session mode (only on explicit request)

Only when the user explicitly points at ONE session ("разбери вот эту сессию"), skip collect/render and run the per-session digest, then give a short text read (TL;DR, what worked, what dragged down, one habit). Any "разбери мои сессии" / "/mentor" goes through the report pipeline above, not this.

uv run --no-project python ~/.claude/skills/mentor/scripts/digest.py <path|last> --agent <claude|codex>

Rules

The report.html is the answer. Never paste the eight sections as a chat message.
Analyze the process, not the code produced. Don't re-review what was built.
Evidence or it didn't happen — every section ties to the stats digest (numbers, projects, prompts). No generic advice.
Codex routes almost everything through one exec tool, so exec-heavy is normal there — judge read-before-edit, not tool name.
Some judgments are model-inferred (satisfaction, themes) — the report footer already flags this; don't overclaim.
Write the report content in the user's language, defaulting to English. Set the analysis lang field ("en" | "ru") so the static chrome matches. Keep prose clean, concrete, and free of AI-slop; for Russian, hold it to the humanizer-ru standard.
The friction section is the point. Each friction gets a concrete, copy-pasteable fix (a CLAUDE.md line, a hook, a habit).

View source ↗

File metadata

name: mentor
description: >
  Generate an /insights-style HTML report across MANY of your agent coding sessions
  (Claude Code and OpenAI Codex): what you work on, how you use the agent, your wins,
  your friction points, and concrete fixes to become more effective — precise
  goal-setting, not trusting output blindly, scoping, context hygiene, right-sizing
  models. Reads local session history and writes one self-contained report.html. Use
  when the user asks to "разбери мои сессии", "оцени как я работаю с агентом", "мой
  insights", "session insights report", "review how I work", "на что обратить
  внимание", or runs "/mentor", "/mentor claude", "/mentor codex", "/mentor both".
  Do NOT use for reviewing the CODE produced (that's code-review) or building the agent.

View original text

---
name: mentor
description: >
  Generate an /insights-style HTML report across MANY of your agent coding sessions
  (Claude Code and OpenAI Codex): what you work on, how you use the agent, your wins,
  your friction points, and concrete fixes to become more effective — precise
  goal-setting, not trusting output blindly, scoping, context hygiene, right-sizing
  models. Reads local session history and writes one self-contained report.html. Use
  when the user asks to "разбери мои сессии", "оцени как я работаю с агентом", "мой
  insights", "session insights report", "review how I work", "на что обратить
  внимание", or runs "/mentor", "/mentor claude", "/mentor codex", "/mentor both".
  Do NOT use for reviewing the CODE produced (that's code-review) or building the agent.
---

# Mentor — /insights-style report on how you work with agents

## Why this exists
Agents now do what juniors used to. But juniors became seniors by getting feedback
from seniors. Give agents to juniors and fire the seniors, and nobody gets that
feedback loop anymore. This skill *is* that loop: it reads your own local session
history and hands back a single report — what you build, where you lose time, and
concrete changes to get better. Effectiveness, not token-golf.

**The deliverable is the rendered `report.html` file — always.** The eight-section
analysis is intermediate: it goes into `analysis.json` and gets rendered, never
pasted into chat. A wall of analysis text in the reply is the failure this skill
exists to fix. If you cannot run the scripts, say so plainly — do not substitute a
text summary. Modeled on Claude Code's built-in `/insights`.

## Agents

| Agent | arg | Logs |
|---|---|---|
| Claude Code | `claude` | `~/.claude/projects/<slug>/<uuid>.jsonl` |
| OpenAI Codex | `codex` | `~/.codex/sessions/**/rollout-*.jsonl` (+ `~/.codex/archived_sessions/`) |
| both | `both` (default) | union of the two |

## Workflow — build the report

1. **Collect** every session in the window into one stats bundle (deterministic):
   ```bash
   uv run --no-project python ~/.claude/skills/mentor/scripts/collect.py \
     --agent <claude|codex|both> --days <N> --out /tmp/mentor-stats.json
   ```
   Default `--agent both --days 30`. It writes `stats.json` and prints a compact
   digest: headline numbers, tool mix, languages, projects, and every session's
   verbatim first prompt. Read that digest — it is your evidence.

2. **Analyze into eight sections.** Read `references/best-practices.md` for the canon,
   then write `/tmp/mentor-analysis.json` (schema in `scripts/render_report.py` header).
   Ground every claim in the digest (numbers, project names, prompt patterns). The
   eight sections, mirroring `/insights`:
   - **what_you_work_on** — sessions clustered into themes, with rough share.
   - **how_you_use** — patterns: tool ratios (Bash/exec vs Read), languages, both-agent split, checkpoints.
   - **impressive** — real wins, handed back.
   - **friction** — where time leaks. Each: problem, evidence, concrete fix. This section earns the report.
   - **features_to_try** — existing features they under-use.
   - **claude_md_additions** — copy-paste CLAUDE.md lines that kill a recurring friction.
   - **new_ways** — new ways to use the agent(s).
   - **on_the_horizon** — where the workflow is heading.
   Also write a `summary` that does not flatter — name what is hindering them.

3. **Render** the self-contained HTML:
   ```bash
   uv run --no-project python ~/.claude/skills/mentor/scripts/render_report.py \
     --stats /tmp/mentor-stats.json --analysis /tmp/mentor-analysis.json \
     --out ~/.claude/usage-data/mentor-report.html
   ```

4. **Deliver the file.** Open or hand over `~/.claude/usage-data/mentor-report.html`:
   in Claude Code use SendUserFile with display `render`; in Codex or a shell, open it
   (`open <path>`) and print the path. Then add at most two spoken lines: the single
   highest-leverage fix. The report carries the detail; the chat does not repeat it.

## Quick single-session mode (only on explicit request)
Only when the user explicitly points at ONE session ("разбери вот эту сессию"), skip
collect/render and run the per-session digest, then give a short text read (TL;DR,
what worked, what dragged down, one habit). Any "разбери мои сессии" / "/mentor" goes
through the report pipeline above, not this.
```bash
uv run --no-project python ~/.claude/skills/mentor/scripts/digest.py <path|last> --agent <claude|codex>
```

## Rules
- The report.html is the answer. Never paste the eight sections as a chat message.
- Analyze the process, not the code produced. Don't re-review what was built.
- Evidence or it didn't happen — every section ties to the stats digest (numbers, projects, prompts). No generic advice.
- Codex routes almost everything through one `exec` tool, so exec-heavy is normal there — judge read-before-edit, not tool name.
- Some judgments are model-inferred (satisfaction, themes) — the report footer already flags this; don't overclaim.
- Write the report content in the user's language, defaulting to English. Set the analysis `lang` field ("en" | "ru") so the static chrome matches. Keep prose clean, concrete, and free of AI-slop; for Russian, hold it to the humanizer-ru standard.
- The friction section is the point. Each friction gets a concrete, copy-pasteable fix (a CLAUDE.md line, a hook, a habit).

Review the source

Price & running costs

Get the skill: Price unconfirmed
Run it: Requirements have not been confirmed. Check the source for agent, API and service charges.
License: MIT
Price unconfirmed: We have not confirmed a price for this skill. Existing source and install links remain available.

Free to get does not mean free to run. Price labels are not safety ratings. Submit pricing information →

Skill source recorded

Skill instructions are recorded. This is not a runtime test, safety guarantee or compatibility certification.

Review before install: Avoid automatic install

License: MIT

Dependency or permission surface needs review
Permission surface may require sandboxing
Quality score needs review
Permission surface needs review: secrets or environment access, shell or command execution
GitHub adoption: 78 GitHub stars
Stars/forks activity: 78 stars, 1 forks; issue activity unavailable in current metadata
Dependency/runtime risk: command execution surface, credential or environment access
Permission surface: secrets or environment access, shell or command execution

Open full audit

Listed tools are metadata hints, not tested compatibility. Agent prompts are suggested handoffs.

Start with one small task

1Read the source. Confirm the input, expected output, dependencies and permissions.
2Ask your agent for a plan. Approve setup and any costs before running a small isolated test.
3Check the output and changed files. Report only what actually ran; keep the source revision for reproduction.

Check the source for dependencies, API keys and third-party costs. A public repository does not mean every service is free.

Source & usage notes

Indexed

Repository metadata and review signals are advisory. Popularity, source discovery and successful execution are different facts.

Source repository: smixs/mentor
License: MIT
Version: 1.0.0
Last GitHub push: Aug 8, 2026
Registry updated: Sep 7, 2026
Instruction path: mentor/SKILL.md @ bc5135617900

Version reported in registry metadata; check source releases before relying on it.

Quality

71/100

Strong

Trust

64/100

Sandbox only

Audit

77/100

Needs review

Open full audit View eval report

Dependency or permission surface needs review
Permission surface may require sandboxing
Quality score needs review
Permission surface needs review: secrets or environment access, shell or command execution
GitHub adoption: 78 GitHub stars
Stars/forks activity: 78 stars, 1 forks; issue activity unavailable in current metadata
Dependency/runtime risk: command execution surface, credential or environment access
Permission surface: secrets or environment access, shell or command execution

Verified installs: —
Outcomes: —

Copies are not installs. Installation counts require a reported successful installation; they are not a blanket quality guarantee.

Agent access

This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.

Open install API LLM text format Open manifest Auto-resolve Plan

More details

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      "GitHub adoption: 78 GitHub stars",
      "Stars/forks activity: 78 stars, 1 forks; issue activity unavailable in current metadata",
      "Dependency/runtime risk: command execution surface, credential or environment access",
      "Permission surface: secrets or environment access, shell or command execution"
    ]
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    "label": "Blocked for auto-install",
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    "blocked": true,
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  },
  "quality": {
    "score": 71,
    "label": "Strong"
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    "maintenance": "2mo since push",
    "risk": "Needs review"
  },
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    "High-risk permission hints: Shell or command execution, Secrets or environment access",
    "Dependency or permission surface needs review",
    "Permission surface may require sandboxing",
    "Quality score needs review",
    "Permission surface needs review: secrets or environment access, shell or command execution"
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      "Trust: 72/100 Strong shortlist",
      "Audit: 77/100 Needs review",
      "Safety: 33/100 Avoid automatic install",
      "Review repository, license, install command, and permission surface before production use."
    ],
    "expected_agent_output": {
      "selected_skill": "smixs-mentor (Mentor)",
      "install_command": "npx skills add smixs/mentor",
      "risk_summary": "Needs review; Blocked for auto-install; Review before production",
      "verification_result": "Report the smallest successful task, files touched, warnings, and any missing setup."
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  "outcome_feedback": {
    "endpoint": "https://www.openagentskill.com/api/agent/outcome",
    "method": "POST",
    "requires_resolve_event_id": true,
    "event_id_source": "Use install_receipt.outcome_feedback.event_id or feedback.event_id returned by /api/agent/resolve for the current task.",
    "expected_outcomes": [
      "success",
      "failed",
      "not_relevant",
      "blocked_by_risk",
      "setup_required"
    ],
    "payload_template": {
      "event_id": "<install_receipt.outcome_feedback.event_id or feedback.event_id from /api/agent/resolve>",
      "skill_slug": "smixs-mentor",
      "task": "Use Mentor in an agent workflow",
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  },
  "endpoints": {
    "web": "https://www.openagentskill.com/skills/smixs-mentor",
    "api": "https://www.openagentskill.com/api/agent/skills/smixs-mentor",
    "audit": "https://www.openagentskill.com/skills/smixs-mentor/audit",
    "eval": "https://www.openagentskill.com/api/agent/evals?slug=smixs-mentor&task=Use%20Mentor%20in%20an%20agent%20workflow&max_risk=medium",
    "resolve": "https://www.openagentskill.com/api/agent/resolve?task=Use%20Mentor%20in%20an%20agent%20workflow&agent=codex&max_risk=medium",
    "receipt": "https://www.openagentskill.com/api/agent/receipt?task=Use%20Mentor%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text",
    "install": "https://www.openagentskill.com/api/skills/smixs-mentor/install",
    "manifest": "https://www.openagentskill.com/api/registry/manifest/smixs-mentor"
  }
}

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Creator: smixs
Source: smixs/mentor
Indexed by: OpenAgentSkill community index

Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.

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This Community indexed listing is attributed to smixs but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.

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[![Listed on OpenAgentSkill](https://www.openagentskill.com/api/badge/smixs-mentor?metric=listed&label=Listed)](https://www.openagentskill.com/skills/smixs-mentor?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[![OpenAgentSkill Trust](https://www.openagentskill.com/api/badge/smixs-mentor?metric=trust&label=Trust)](https://www.openagentskill.com/skills/smixs-mentor?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[![OpenAgentSkill Audit](https://www.openagentskill.com/api/badge/smixs-mentor?metric=audit&label=Audit)](https://www.openagentskill.com/skills/smixs-mentor/audit)
[![Agent Proven](https://www.openagentskill.com/api/badge/smixs-mentor?metric=proven&label=Agent%20Proven)](https://www.openagentskill.com/skills/smixs-mentor?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)

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Overview

Mentor — /insights-style report on how you work with agents

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