claude-reflect is a self-learning system for Claude Code that records corrections, positive feedback, preferences, and recurring workflows as persistent instructions or reusable skills. It helps Claude Code users retain lessons across sessions and improve repeated tasks, with catalogue add-ons providing its hooks, commands, instructions, plugin, and skill.
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 BayramAnnakov/claude-reflect/plugin install claude-reflectWrote 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/commands/bayramannakov/claude-reflect/skip-reflect)<a href="https://agentmods.dev/commands/bayramannakov/claude-reflect/skip-reflect"><img src="https://agentmods.dev/badge/commands/bayramannakov/claude-reflect/skip-reflect.svg" alt="Measured on agentmods" 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 | $0.00006 | $0.00298 |
| Opus 5 | $0.00003 | $0.00149 |
| Sonnet 5 | $0.00001 | $0.00060 |
| Haiku 4.5 | $0.00001 | $0.00030 |
Grade A, and why
skip-reflect 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 7d 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.
What it actually says
Context
- Queue count: !
python3 scripts/read_queue.py 2>/dev/null | python3 -c "import sys,json;print(len(json.load(sys.stdin)))" 2>/dev/null || echo 0
Your Task
-
If queue is empty:
- Output: "Queue is already empty. Nothing to skip."
- Exit
-
If queue has items:
- Show: "You are about to discard [count] learning(s). These will be lost:"
- List each queued item briefly (type + first 50 chars of message)
- Ask: "Are you sure? [y/n]"
-
If user confirms (y/yes):
- Clear the project queue:
python3 -c " import sys, os sys.path.insert(0, os.path.join(os.environ.get('CLAUDE_PLUGIN_ROOT', '.'), 'scripts')) from lib.reflect_utils import save_queue save_queue([]) "- Output: "Discarded [count] learnings. Queue cleared."
-
If user declines (n/no):
- Output: "Aborted. Run /reflect to process learnings instead."
Note
This is an escape hatch for when auto-detection captures false positives or learnings aren't worth saving. Use sparingly.
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.
- 7d ago First seen · 38 lines · 6 tokens per session scan A 36a8e8899df8
skip-reflect is a command published in the GitHub repository BayramAnnakov/claude-reflect (1,428 stars, last pushed 5mo ago), licensed MIT. It adds 6 tokens to every session and 298 once invoked, about $0.0000 per session on Opus 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 2026-08-30.
Other commands, from other repositories
setup-context
Set up your Skill Memory — a pm-context.md every skill reads so outputs come back tailored to you.
brain
Set up or use your Professional Brain — init, ingest, recall, or review.
session-learn
Extract knowledge from the current session. Invoke with /session-learn or "extract this session".
memory-forget
Command "memory-forget" from waittim/MemoryCustodian, covering memory-forget and review the preview, then apply its plan id.
reflect
Capture learnings from the current conversation through guided reflection.
memory-compact
Run a dry run first.