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 Melvynx/aiblueprint --skill audit-memoriesgit clone --depth 1 https://github.com/Melvynx/aiblueprintWrote 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/melvynx/aiblueprint/audit-memories)<a href="https://agentmods.dev/skills/melvynx/aiblueprint/audit-memories"><img src="https://agentmods.dev/badge/skills/melvynx/aiblueprint/audit-memories/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/melvynx/aiblueprint/audit-memories"><img src="https://agentmods.dev/badge/skills/melvynx/aiblueprint/audit-memories.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 | $0.00050 | $0.00765 |
| Opus 5 | $0.00025 | $0.00382 |
| Sonnet 5 | $0.00010 | $0.00153 |
| Haiku 4.5 | $0.00005 | $0.00076 |
Grade B, and why
audit-memories scanned grade B 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 4d 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 deletemediumDestructive command
rm -rf with a variable or a broad path is one typo away from removing the wrong tree.
Read the nearest `AGENTS.md`, `CLAUDE.md`, and repository rules first. Record `git status --short` before and after. Never inspect secret values. Never use `rm -rf`; `trash` approved removals. Use `apply_patch` for text. Downgraded: this mod is about security review, or the phrase is quoted, so it is likely naming the pattern rather than instructing it.
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.
What ships with it
4 files 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.
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.
- 4d ago Changed · -126 lines · +5 tokens per session 036d2193693c
- 10d ago First seen · 162 lines · 45 tokens per session scan B ff9baa7ae638
audit-memories is a skill published in the GitHub repository Melvynx/aiblueprint (225 stars, last pushed 3d ago), with no licence file. It adds 50 tokens to every session and 765 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it B 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.
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