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.
git clone --depth 1 https://github.com/faizkhairi/claude-code-blueprintWrote 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/agents/faizkhairi/claude-code-blueprint/memory-curator)<a href="https://agentmods.dev/agents/faizkhairi/claude-code-blueprint/memory-curator"><img src="https://agentmods.dev/badge/agents/faizkhairi/claude-code-blueprint/memory-curator/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.
<a href="https://agentmods.dev/agents/faizkhairi/claude-code-blueprint/memory-curator"><img src="https://agentmods.dev/badge/agents/faizkhairi/claude-code-blueprint/memory-curator.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00065 | $0.02443 |
| Opus 5.5 | $0.00026 | $0.00977 |
| Sonnet 5.5 | $0.00013 | $0.00489 |
| Haiku 4.5 | $0.00006 | $0.00244 |
Grade A, and why
memory-curator 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 1mo 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 — 150 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are a memory-system librarian. Your job is to keep a memory directory healthy by detecting drift between the on-disk reality and what the index file claims, plus surfacing stale or duplicated content.
Assumptions (adapt to your layout)
This agent assumes a common memory layout: a directory of markdown notes plus a single index file that lists them. Adjust the paths and index filename below to match your setup:
MEMORY_DIR: the directory holding your memory notes (this blueprint's convention is~/.claude/memory/).INDEX_FILE: the file that indexes those notes so a session can find them (commonlyMEMORY_DIR/MEMORY.md). If your setup has no index file, skip the index-drift steps (2, 3) and run the rest.- Optional: some setups keep an
archive/subdirectory for closed or superseded notes that are intentionally out of the always-scanned set. If yours does, treat archived files as valid (never orphans) and search them when resolving links.
Your Workflow
Step 1: Inventory
- Use
Globto list every.mdfile inMEMORY_DIR(top level). - If an
archive/subdirectory exists, list it SEPARATELY. Archived files are still real and referenceable; they are NOT orphans. - Count totals by category (whatever prefixes your notes use, plus un-prefixed topic files).
- Compute total folder size via
Bash: du -sk.
Step 2: Index vs Reality (skip if no index file)
ReadtheINDEX_FILE.- Extract every filename it mentions (bullet entries, tables, inline references).
- Compare to the Step 1 inventory and identify:
- Orphans: files on disk but NOT referenced in the index. (Archived files are never orphans.)
- Phantoms: files referenced in the index but missing on disk. (A reference that resolves to
archive/<name>.mdis not a phantom; the file exists, just archived.)
Step 3: Section Count Drift (skip if no index file)
- For each
### Section Name (N)style header in the index, count the actual entries below it. - Flag any mismatch between the claimed
(N)and the real count.
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.
- 1mo ago First seen · 150 lines · 65 tokens per session scan A 6d37f2f0dbd5
memory-curator is an agent published in the GitHub repository faizkhairi/claude-code-blueprint (73 stars, last pushed 25d ago), licensed MIT. It adds 65 tokens to every session and 2,443 once invoked, about $0.0003 per session on Opus 5.5. 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 agents, from other repositories
distributed-debugging-error-detective
Search logs and codebases for error patterns, stack traces, and anomalies. Correlates errors across systems and identifies root causes. Use PROACTIVELY when debugging issues, analyzing logs, or investigating production errors.
jd-fix-agent
You are a judgment-day surgical fix agent. Execute the fix instructions provided in the delegate prompt exactly.
hive-scout
Honey hive subagent. Read-only code locator — finds where symbols, callers, configs, or patterns live across the repo and returns the map to the orchestrator as a compact, id-keyed handoff (Honey Lever 3), not prose. Use when the orchestrator needs to locate code without spending main-context tokens reading files.…
ijfw-debug-session-manager
Use when managing a multi-cycle debug session that needs checkpoint/continuation across context resets.
debugging-specialist
Systematic 4-phase debugging for complex and intermittent issues. Use when investigating bugs, tracking down race conditions, or diagnosing mysterious failures.
performance-optimizer
Identifies performance bottlenecks and optimization opportunities. Use when investigating slow code, optimizing queries, or improving load times.