mysql_mcp_plus: Skill for Codex

.agents/skills/trellis-session-insight/SKILL.md

trellis-session-insight is a skill for Codex from mjwyr/mysql_mcp_plus. It costs 140 tokens per session (1,551 once invoked), scanned A, a copy of trellis-session-insight, MIT.

A skill for searching and reading earlier AI conversation history through the Trellis memory command-line tool. It helps recover decisions and solutions from past sessions.

In plain words
What is it for?
Finding how an earlier issue was solved, recalling past decisions, or checking whether a topic was discussed before.
Why use it?
It avoids repeating investigations when the project has already discussed the same problem.

Skill for Codex

Written for Codex: reads ~/.codex or $CODEX_HOME. Also seen: reads .claude/ paths; mentions subagents; mentions Claude Code.

This is mjwyr/mysql_mcp_plus's own configuration. It tells Codex how to work on mysql_mcp_plus 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 mysql_mcp_plus configures →

Reuse

Borrowing it

Nothing to install: this file belongs to mjwyr/mysql_mcp_plus. 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/mjwyr/mysql_mcp_plus/main/.agents/skills/trellis-session-insight/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/mjwyr/mysql_mcp_plus

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 trellis-session-insight

README.md
[![agentmods](https://agentmods.dev/badge/skills/mjwyr/mysql_mcp_plus/trellis-session-insight/github.svg)](https://agentmods.dev/skills/mjwyr/mysql_mcp_plus/trellis-session-insight)
Your own site
<a href="https://agentmods.dev/skills/mjwyr/mysql_mcp_plus/trellis-session-insight"><img src="https://agentmods.dev/badge/skills/mjwyr/mysql_mcp_plus/trellis-session-insight/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.

agentmods 80×15 button for trellis-session-insight

Your own site · 80×15
<a href="https://agentmods.dev/skills/mjwyr/mysql_mcp_plus/trellis-session-insight"><img src="https://agentmods.dev/badge/skills/mjwyr/mysql_mcp_plus/trellis-session-insight.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 140 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,551 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 84% copy Near-identical to another mod 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 $0.00140 $0.01551
Opus 5 $0.00070 $0.00776
Sonnet 5 $0.00028 $0.00310
Haiku 4.5 $0.00014 $0.00155

Measured 9d ago against content hash d20f1d20c694, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

trellis-session-insight 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 9d 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.

Origin

This is a copy

84% identical to trellis-session-insight — 4 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

.agents/skills/trellis-session-insight/SKILL.md · 82 lines

How it starts

The opening of the file, as written. The whole thing — 82 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Trellis Session Insight

This skill teaches an AI how to call trellis mem — the project's cross-session memory feedstock — and when reaching for it is the right move.

It is intentionally a capability skill, not a workflow. There is no fixed output file, no required write-back step, no "always run after finish-work" rule. What to do with what mem returns is a judgement call made in the moment of the conversation. The skill exists so the AI knows the capability is there and can decide.

What trellis mem is

A local CLI that indexes the user's past Claude Code, Codex, Pi Agent, and ZCode conversation logs and lets you list, search, slice by Trellis task boundaries, and dump cleaned dialogue from them. Claude and Codex use ~/.claude/projects/ and ~/.codex/sessions/. Pi uses its default or environment-configured session root, global ~/.pi/agent/settings.json, and the scoped project's .pi/settings.json; relative sessionDir values resolve from the settings file directory. Project-local Pi settings require project-scoped lookup through the current cwd or --cwd. ZCode uses ~/.zcode/cli/db/db.sqlite. OpenCode logs are not yet indexable (provider adapter pending) — when an OpenCode session is the obvious target, surface that limitation rather than guessing.

Nothing in mem is uploaded. All reads are local.

When to reach for it

The bar is "would a senior teammate ask 'didn't we already talk about this?'" — those are the moments. Some concrete patterns:

  • Brainstorm rerun risk. Starting a new task that touches an area the user has been in before, and you want to check whether a decision was already made — before re-asking the user.
  • Familiar-bug debugging. The current bug pattern feels like one the user reported / fixed before. Pulling the relevant past session can save a full debugging loop.
  • Cross-session continuation. The user resumes work after a gap and says "where were we" / "继续上次的" without being specific.
  • Decision retrieval. The user references "the decision we made about X" but the decision lives in an old brainstorm, not in any prd.md / spec/.
  • Finish-work retrospective. When the user explicitly asks for a wrap-up of what was decided / what hurt / what surprised them in this task — not as a forced step on every finish-work.
  • Pattern-spotting across past work. The user asks "do I keep making the same mistake on X" / "我每次都踩这个坑吗" — search across sessions answers that.

Read the full file on GitHub · 82 lines

Files

What ships with it

2 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.

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. 9d ago First seen · 82 lines · 140 tokens per session scan A d20f1d20c694

Subscribe to this mod's changes

trellis-session-insight is a skill published in the GitHub repository mjwyr/mysql_mcp_plus (0 stars, last pushed 1mo ago), licensed MIT. It adds 140 tokens to every session and 1,551 once invoked, about $0.0007 per session on Opus 5. A static security scan graded it A with 0 findings. It is 84% identical to trellis-session-insight, differing in 4 lines, and is treated as a copy.

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