Basic Memory is a local-first knowledge system that stores notes as Markdown files and connects them into a searchable knowledge graph for AI conversations. People and AI assistants use it to preserve project context across Claude, Codex, Cursor, ChatGPT, and other MCP-compatible clients. The catalogue add-ons provide Basic Memory skills, commands, instructions, MCP integrations, hooks, settings, and a plugin.
Borrowing it
Nothing to install: this file belongs to basicmachines-co/basic-memory. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/basicmachines-co/basic-memory/main/.agents/skills/adversarial-review/SKILL.mdgit clone --depth 1 https://github.com/basicmachines-co/basic-memoryWrote 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/basicmachines-co/basic-memory/adversarial-review)<a href="https://agentmods.dev/skills/basicmachines-co/basic-memory/adversarial-review"><img src="https://agentmods.dev/badge/skills/basicmachines-co/basic-memory/adversarial-review/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/basicmachines-co/basic-memory/adversarial-review"><img src="https://agentmods.dev/badge/skills/basicmachines-co/basic-memory/adversarial-review.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 2 findings, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high Excessive Agency · line 95 Skill selects an external model or provider that may use a different account or billing plan than the operator expects. Undisclosed model switches can cause unexpected cost or quota consumption.Fix: Remove the model/provider override or disclose it prominently and require explicit operator approval before invoking an external coding CLI or billed model.
- high Excessive Agency · line 103 Skill selects an external model or provider that may use a different account or billing plan than the operator expects. Undisclosed model switches can cause unexpected cost or quota consumption.Fix: Remove the model/provider override or disclose it prominently and require explicit operator approval before invoking an external coding CLI or billed model.
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 | $0.00095 | $0.01973 |
| Opus 5.5 | $0.00038 | $0.00789 |
| Sonnet 5.5 | $0.00019 | $0.00395 |
| Haiku 4.5 | $0.00010 | $0.00197 |
Grade A, and why
adversarial-review 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.
The source is not reproduced here
Licensed AGPL-3.0
The repository is licensed AGPL-3.0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.
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.
- 1mo ago First seen · 160 lines · 95 tokens per session scan A 5171d85fef99
adversarial-review is a skill published in the GitHub repository basicmachines-co/basic-memory (4,260 stars, last pushed 2d ago), licensed AGPL-3.0. It adds 95 tokens to every session and 1,973 once invoked, about $0.0004 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 skills, from other repositories
security-audit
Security audit expert for OWASP Top 10, CVE analysis, code review, and penetration testing methodology.
code-reviewer
Code review specialist focused on patterns, bugs, security, and performance.
python-expert
Python expert for stdlib, packaging, type hints, async/await, and performance optimization.
flag-cleanup
Weekly reusable-session feature-flag cleanup for {{targetrepo}}. Inventories every feature flag, classifies each as fully rolled out, long dead, partial rollout, or active experiment, removes the flag and the dead branch it guards on an isolated branch when the suite is green, and opens a PR — never touching a flag…
fsl-requirements-document
Generate, edit, and re-verify a human-readable requirements document (Markdown) from a checked FSL requirements/spec dialect file, using fslc document generate/claims/check. The agent is a non-normative editor and review-support assistant, never a compiler — it may only fill in the document's editable slot…
repo-readiness-audit
Use when a user asks whether an identified repository is ready for further development, release work, a new feature, handoff, or a new contributor, requiring a disciplined read-only audit before an evidence-backed verdict.