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 andreibesleaga/GABBE --skill working-memorygit clone --depth 1 https://github.com/andreibesleaga/GABBEWrote 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/andreibesleaga/gabbe/working-memory)<a href="https://agentmods.dev/skills/andreibesleaga/gabbe/working-memory"><img src="https://agentmods.dev/badge/skills/andreibesleaga/gabbe/working-memory/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/andreibesleaga/gabbe/working-memory"><img src="https://agentmods.dev/badge/skills/andreibesleaga/gabbe/working-memory.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 | $0.00017 | $0.00925 |
| Opus 5 | $0.00009 | $0.00463 |
| Sonnet 5 | $0.00003 | $0.00185 |
| Haiku 4.5 | $0.00002 | $0.00093 |
Grade D, and why
working-memory scanned grade D with 2 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 8d 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.
Instruction-override phrasingmediumPrompt injection
Text telling the model to disregard its earlier instructions or safety rules is the shape of a prompt injection, whoever wrote it.
- **Attention Hijacking (Prompt Injection)**: The "Attention Mechanism" (Step 2) relies on the agent explicitly defining what it is attending to. A sophisticated prompt injection payload (e.g., "IGNORE PREVIOUS INSTRUCTI Downgraded: this mod is about security review, or the phrase is quoted, so it is likely naming the pattern rather than instructing it.
Reaches for credential fileshighPrivilege escalation
SSH keys, cloud credentials, git-credentials, .npmrc, /etc/shadow: reading these is how a config file becomes a credential leak.
- **Attention Hijacking (Prompt Injection)**: The "Attention Mechanism" (Step 2) relies on the agent explicitly defining what it is attending to. A sophisticated prompt injection payload (e.g., "IGNORE PREVIOUS INSTRUCTI The source is not reproduced here
A licence we could not identify
The repository carries a LICENSE file, but it is custom or dual enough that GitHub cannot name it and neither can this catalogue. Unknown terms are not permission, so the body is not copied here. Read the licence at the source and decide for yourself.
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.
- 8d ago First seen · 48 lines · 17 tokens per session scan D 11b55d425457
working-memory is a skill published in the GitHub repository andreibesleaga/GABBE (22 stars, last pushed 3d ago), with no licence file. It adds 17 tokens to every session and 925 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it D with 2 findings (instruction-override phrasing, reaches for credential files). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-04.
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