Cognee is an AI memory platform that stores information in a self-hosted knowledge graph so agents can retain context across sessions. It ingests data, connects related information, and helps agents retrieve it for reasoning and actions. The catalogue includes skills and instructions that extend agent workflows around Cognee.
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 topoteretes/cognee --skill pr-comment-evaluatorgit clone --depth 1 https://github.com/topoteretes/cogneeWrote 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/topoteretes/cognee/pr-comment-evaluator)<a href="https://agentmods.dev/skills/topoteretes/cognee/pr-comment-evaluator"><img src="https://agentmods.dev/badge/skills/topoteretes/cognee/pr-comment-evaluator.svg" alt="Measured on agentmods" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00011 | $0.00039 |
| Opus 5 | $0.00005 | $0.00019 |
| Sonnet 5 | $0.00002 | $0.00008 |
| Haiku 4.5 | $0.00001 | $0.00004 |
Grade A, and why
pr-comment-evaluator 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 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.
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
pr-comment-evaluator
Only judge whether the PR comment sounds polite. Do not discuss code risk or technical correctness.
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 · 7 lines · 11 tokens per session scan A 03d0fd15faa2
pr-comment-evaluator is a skill published in the GitHub repository topoteretes/cognee (30,542 stars, last pushed yesterday), licensed Apache-2.0. It adds 11 tokens to every session and 39 once invoked, about $0.0001 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 2026-08-30.
Other skills, from other repositories
design-is
Audit a design against Dieter Rams' ten "Good design is..." principles, then hand off a /make-plan prompt for one of three outcomes — new design, refine design, or redesign. Use when the user says "audit this design", "design review", "check this UI against Rams", "is this UI good", "critique this design", "design…
babysit
Watch a pull request or review cycle until it is ready to merge. Use when asked to babysit, monitor, or keep checking PR comments, reviews, and CI until all actionable issues are resolved.
openmemory
Manage persistent memory via OpenMemory MCP. TRIGGER when: user says "remember this", "save to memory", "store this", "recall", "what do you remember about", "check memory", "forget this", "delete memory", "clean up memory", or when agent forms a stable conclusion worth persisting. DO NOT TRIGGER when: user refers to…
review-spd
Findings-first code review workflow for AI coding agents. Use when the user asks to review uncommitted changes, commits in a date range, or a branch compared to the main branch / PR-style diff. Focuses on bugs, regressions, correctness risks, missing tests, security/data-safety issues, and other behavior-changing…
code-audit
Use when the user says '/code-audit', 'audit this code', 'check code quality', 'find duplication', 'find dead code', 'code cleanup', 'technical debt audit', 'code review module', or wants a structured noetic investigation of code quality. This skill runs external analysis tools and structured manual review, producing…
codex
Multi-AI adversarial fallback chain — three tiers: Codex CLI (primary), OpenCode/GLM5 (fallback), Claude subagent (last resort). Three modes: review (code review with pass/fail gate), challenge (adversarial — tries to break your code), consult (ask anything with session continuity). Use when asked to "codex review"…