reflecting

A session review tool that finds useful lessons from completed work, corrections, bug fixes, and new patterns, then lets you choose which to explore further.

In plain words
What is it for?
Use it after significant work, a correction, or a resolved bug when you want to ask what was learned or capture useful patterns.
Why use it?
It helps turn scattered experience from a coding session into selected, reusable lessons.

Skill for Claude CodeCodex

Part of the rcc plugin — 23 skills, 5 commands, 5 agents, 1 hook shipped together

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.

agentmods
npx agentmods add skills/wayne930242/reflexive-claude-code/reflecting
Any agent
npx skills add wayne930242/Reflexive-Claude-Code --skill reflecting
Clone the repo
git clone --depth 1 https://github.com/wayne930242/Reflexive-Claude-Code

Made for: Claude Code, Codex.

Or install rcc, the plugin that ships this one along with the rest of its 23 skills, 5 commands, 5 agents, 1 hook.

Per session 70 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 971 The whole file, excluding the scripts and references it only reads on demand.
Security scan C 1 finding. Scan, not verified.
Origin unknown 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.

ModelPer sessionOnce invoked
Fable 5 $0.00070 $0.00971
Opus 5 $0.00035 $0.00485
Sonnet 5 $0.00014 $0.00194
Haiku 4.5 $0.00007 $0.00097

Measured 3d ago against content hash c316100ce1b6, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade C, and why

reflecting scanned grade C 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 3d 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.

Recursive force deletehighDestructive command

rm -rf with a variable or a broad path is one typo away from removing the wrong tree.

- **safety_bypass is always surfaced, flagged ⚠️** — never bury a skipped safety check, even in a light scan. Watch for: `--force` / `reset --hard` / `clean -f` / `branch -D`, `--no-verify`, `rm -rf` / dropping tables, d
plugins/rcc/skills/reflecting/SKILL.md · 75 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

Files

What ships with it

1 file 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. 3d ago First seen · 75 lines · 70 tokens per session scan C c316100ce1b6

Subscribe to this mod's changes

reflecting is a skill published in the GitHub repository wayne930242/Reflexive-Claude-Code (16 stars, last pushed 10d ago), with no licence file. It adds 70 tokens to every session and 971 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it C with 1 finding (recursive force delete). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.