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 skills add cmg8431/claude-dejavu --skill weekly-reportgit clone --depth 1 https://github.com/cmg8431/claude-dejavuWrote 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/skills/cmg8431/claude-dejavu/weekly-report)<a href="https://agentmods.dev/skills/cmg8431/claude-dejavu/weekly-report"><img src="https://agentmods.dev/badge/skills/cmg8431/claude-dejavu/weekly-report/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/skills/cmg8431/claude-dejavu/weekly-report"><img src="https://agentmods.dev/badge/skills/cmg8431/claude-dejavu/weekly-report.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 | $0.00037 | $0.00444 |
| Opus 5 | $0.00018 | $0.00222 |
| Sonnet 5 | $0.00007 | $0.00089 |
| Haiku 4.5 | $0.00004 | $0.00044 |
Grade A, and why
dejavu-report scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
claude-dejavu: Weekly Report
You are generating a weekly effectiveness report for claude-dejavu.
Steps
- First, gather statistics:
claude-dejavu stats --path "$(pwd)"
- Then list all rules with their grades:
claude-dejavu list --path "$(pwd)"
- Format a report with the following sections:
New Patterns This Week
List any rules created in the last 7 days. If stats show no new rules, say "No new patterns detected this week."
Rules That Fired (Prevented Mistakes)
Highlight rules with fire_count > 0 that have fired recently. These are the rules that actively prevented Claude from repeating past mistakes. Show each rule's grade badge and fire count.
Dead Rules to Consider Removing
List rules with status "dead" or rules that have not fired in 14+ days with low confidence (< 0.6). Suggest the user remove these to keep the rule set lean.
Effectiveness Trend
Summarize overall health:
- Total active rules
- Average confidence across active rules
- Total fires this period
- Grade distribution (how many A/B/C/D rules)
Present the report in a clean, readable format:
=== claude-dejavu Weekly Report ===
New patterns: 2 discovered
Rules fired: 5 times (prevented 5 mistakes)
Dead rules: 1 candidate for removal
Overall health: Good (avg confidence: 0.82)
Grade distribution: A:3 B:2 C:1 D:0
Important
- Be concise but informative
- Highlight wins (rules that fired = mistakes prevented)
- If there are no rules yet, encourage the user to run more sessions so dejavu can learn
- If effectiveness is declining (many dead rules, low confidence), suggest running a fresh scan
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.
- 12d ago First seen · 65 lines · 37 tokens per session scan A 80e3e6b3a5ea
dejavu-report is a skill published in the GitHub repository cmg8431/claude-dejavu (2 stars, last pushed 3mo ago), licensed MIT. It adds 37 tokens to every session and 444 once invoked, about $0.0002 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 2026-08-31.
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weekly-digests
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cloud-sync
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knowledge-agent
Build and query AI-powered knowledge bases from claude-mem observations. Use when users want to create focused "brains" from their observation history, ask questions about past work patterns, or compile expertise on specific topics.
claude-mem-install
Use this when setting up claude-mem on Cursor: local or remote worker, local host-login observer or remote cmem.ai inference.