What is mining-session-skills?

A review process for examining a completed Claude Code session and deciding whether a reusable skill should be created, updated, or reused. It works from an exported, condensed session record rather than the raw event log.

Use it after a completed session to identify automation opportunities, compare the result with skills loaded in the current session, and recommend a skill change—or conclude that none is worthwhile.

It turns repeated work patterns into reusable guidance and avoids manually inspecting an extremely large session file.

mining-session-skills — Skill for Claude Code by sugarforever

Install

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.

Any agent

npx skills add sugarforever/01coder-agent-skills --skill mining-session-skills

Clone the repo

git clone --depth 1 https://github.com/sugarforever/01coder-agent-skills

Made for: Claude Code.

Or install 01coder-skills, the plugin that ships this one along with the rest of its 23 skills.

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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/sugarforever/01coder-agent-skills/mining-session-skills/github.svg)](https://agentmods.dev/skills/sugarforever/01coder-agent-skills/mining-session-skills)

Your own site

<a href="https://agentmods.dev/skills/sugarforever/01coder-agent-skills/mining-session-skills"><img src="https://agentmods.dev/badge/skills/sugarforever/01coder-agent-skills/mining-session-skills/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/sugarforever/01coder-agent-skills/mining-session-skills"><img src="https://agentmods.dev/badge/skills/sugarforever/01coder-agent-skills/mining-session-skills.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 113 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 1,305 The whole file, excluding the scripts and references it only reads on demand.

Security scan B 1 finding. 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.

Model	Per session	Once invoked
Fable 5.1	$0.00113	$0.01305
Opus 5.5	$0.00045	$0.00522
Sonnet 5.5	$0.00023	$0.00261
Haiku 4.5	$0.00011	$0.00130

Measured 2mo ago against content hash 7a3bbb3bff51, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade B, and why

mining-session-skills scanned grade B with 1 finding 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.

The scan reads SKILL.md. This mod also ships 2 executable files (scripts/extract_session_signals.py, scripts/test_extract_session_signals.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

Reads agent configuration directoriesmediumAgent snooping

.claude/, .codex/, .gemini/ hold keys, settings and other credentials a mod has no legitimate need for.

Search by the user's description. Prefilter optionally with a raw-JSONL byte grep across `~/.claude/projects` (finds which file mentions a keyword without parsing), and/or grep the exported corpus under `~/.claude/sessio

skills/mining-session-skills/SKILL.md · 78 lines

How it starts

The opening of the file, as written. The whole thing — 78 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Mining Session Skills

Overview

Review one completed Claude Code session and answer: is there a skill worth creating or updating so this kind of work goes faster next time? A clean "nothing worth making here" is a valid result.

This skill is the judgment layer on top of claude-session-manager (the export/normalization layer). It reads exported markdown, not raw JSONL.

Preconditions

Inventory = skills loaded in THIS session. Create-vs-update-vs-reuse is decided against the skills already advertised/loaded in the running session. State this limit in the report ("comparison limited to skills loaded this session"). Run this skill where the relevant skills are loaded.
Mining operates on exported markdown (default ~/.claude/session-markdown), produced by claude-session-manager. If the target session is not exported yet, export it first (step 1.5).

Why exported markdown, not raw JSONL

Measured: a real session's raw JSONL was ~1.5M tokens (exceeds the context window); the exported compact body was ~91k tokens (17× smaller) with tool payloads deferred to a sidecar. Raw grep '"type":"user"' over JSONL is a trap (tool results are role:user). Always read/mine the exported markdown. Raw-JSONL byte grep is acceptable ONLY as a location prefilter (step 1).

Pipeline

Copy this checklist and track progress:

- [ ] 1. Locate the session (keyword search; confirm with user)
- [ ] 1.5 Export it if not already exported
- [ ] 2. Read the compact transcript (pull sidecar only as needed)
- [ ] 2.5 Segment into topic arcs
- [ ] 3. Mine friction signals per arc
- [ ] 4. Apply the worth-it gate
- [ ] 5. Decide create / update / reuse
- [ ] 6. Present the proposal
- [ ] 7. On approval, interview + draft

1. Locate

Search by the user's description. Prefilter optionally with a raw-JSONL byte grep across ~/.claude/projects (finds which file mentions a keyword without parsing), and/or grep the exported corpus under ~/.claude/session-markdown. Skip <local-command-caveat> / <command-*> wrapper noise — the first-prompt excerpt is often a wrapper, not the real ask. Present a ranked shortlist and let the user confirm.

Read the full file on GitHub · 78 lines

Files

What ships with it

5 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.

2mo ago First seen · 78 lines · 113 tokens per session scan B 7a3bbb3bff51

Subscribe to this mod's changes

mining-session-skills is a skill published in the GitHub repository sugarforever/01coder-agent-skills (139 stars, last pushed 18d ago), licensed MIT. It adds 113 tokens to every session and 1,305 once invoked, about $0.0005 per session on Opus 5.5. A static security scan graded it B with 1 finding (reads agent configuration directories). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

Building agents

mining-session-skills next to 6 skills from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
mining-session-skillssugarforever/01coder-agent-skills	Skill	139	18d ago	MIT	B	113	Claude Code
imagegenopenai/codex	Skill	133k	yesterday	Apache-2.0	A	113	Codex
playwright-climicrosoft/playwright	Skill	99k	yesterday	Apache-2.0	A	19	Claude Code
local-ai-agentsmicrosoft/ai-agents-for-beginners	Skill	79k	4d ago	MIT	A	200	Claude Code, Codex
systematic-debuggingobra/superpowers	Skill	313k	3d ago	MIT	A	21	Claude Code
next-cache-components-adoptionvercel/next.js	Skill	143k	yesterday	MIT	A	95	Claude Code
next-partial-prefetching-adoptionvercel/next.js	Skill	143k	yesterday	MIT	A	103	Claude Code

mining-session-skills