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.
npx agentmods add commands/rlancemartin/claude-diary/reflectgit clone --depth 1 https://github.com/rlancemartin/claude-diaryWrote 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/rlancemartin/claude-diary/reflect)<a href="https://agentmods.dev/commands/rlancemartin/claude-diary/reflect"><img src="https://agentmods.dev/badge/commands/rlancemartin/claude-diary/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 | $0.00013 | $0.03914 |
| Opus 5 | $0.00006 | $0.01957 |
| Sonnet 5 | $0.00003 | $0.00783 |
| Haiku 4.5 | $0.00001 | $0.00391 |
Grade A, and why
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 6d 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.
How it starts
The opening of the file, as written. The whole thing — 391 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Reflect on Diary Entries and Synthesize Insights
You are going to analyze multiple diary entries to identify recurring patterns, synthesize insights, and propose updates to the user's CLAUDE.md file.
Parameters
The user can provide:
- Date range: "from YYYY-MM-DD to YYYY-MM-DD" or "last N days"
- Entry count: "last N entries" (e.g., "last 10 entries")
- Project filter: "for project [project-path]" (optional - filter to specific project)
- Pattern filter: "related to [keyword]" (e.g., "related to testing" or "related to React")
If no parameters are provided, default to analyzing the last 10 diary entries.
Steps to Follow
-
Check processed entries log:
- Read
~/.claude/memory/reflections/processed.logto find already-processed diary entries - Format:
[diary-filename] | [reflection-date] | [reflection-filename] - Example:
2025-11-07-session-1.md | 2025-11-08 | 2025-11-reflection-1.md - If file doesn't exist, all entries are unprocessed
- Create the file if it doesn't exist:
touch ~/.claude/memory/reflections/processed.log
- Read
-
Locate diary entries:
- Directory:
~/.claude/memory/diary/ - Entries are named:
YYYY-MM-DD-session-N.md - List all entries, sorted by date (newest first)
- Exclude already-processed entries (unless user explicitly requests re-analysis)
- Directory:
-
Filter entries based on parameters:
- If date range specified: only include entries within that range
- If entry count specified: take the N most recent entries
- If project filter specified: only include entries where the Project field matches
- If pattern filter specified: only include entries that mention the keyword in any section
-
Read and parse filtered diary entries:
- Read each diary entry file
- Extract information from all sections
- Pay special attention to:
- User Preferences Observed
- Code Patterns and Decisions
- Solutions Applied (what works well)
- Challenges Encountered (what to avoid)
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.
- 6d ago First seen · 391 lines · 13 tokens per session scan A 23e3297bf4ff
reflect is a command published in the GitHub repository rlancemartin/claude-diary (379 stars, last pushed 8mo ago), licensed MIT. It adds 13 tokens to every session and 3,914 once invoked, about $0.0001 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
minutes-ideas
Surface recent voice memos and ideas captured from any device. Use when the user asks "what ideas did I have?", "what were my recent memos?", "what did I record while walking?", or wants to recall a captured thought.
learn
Force claude-smart to extract learnings from this session now.
session-end
I'll summarize this coding session and update the memory system with our accomplishments.
memory-store
Store an insight, decision, or pattern to memory.
cc-memory
Configure persistent memory that survives across sessions using a layered approach: split rule files for always-loaded context, auto-memory for organic learning, and optional MCP-backed long-term memory for large codebases.
analyze-context
USE WHEN you want to analyze project context before starting work on a task. Calls context + recall, then synthesizes goals, decisions, gotchas, and relevant memories into a pre-task brief.