Getting it into your agent
This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.
/plugin marketplace add Lyzr-Cognis/claude-cognis/plugin install claude-cognisWrote 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/lyzr-cognis/claude-cognis/cognis-save)<a href="https://agentmods.dev/skills/lyzr-cognis/claude-cognis/cognis-save"><img src="https://agentmods.dev/badge/skills/lyzr-cognis/claude-cognis/cognis-save/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/lyzr-cognis/claude-cognis/cognis-save"><img src="https://agentmods.dev/badge/skills/lyzr-cognis/claude-cognis/cognis-save.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 | $0.00023 | $0.00385 |
| Opus 5 | $0.00012 | $0.00192 |
| Sonnet 5 | $0.00005 | $0.00077 |
| Haiku 4.5 | $0.00002 | $0.00038 |
Grade A, and why
cognis-save scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
Save to Cognis Memory
Use this skill when the user wants to preserve architectural decisions, important patterns, conventions, or project knowledge for future sessions.
Instructions
-
Determine what the user wants to save.
-
Format the content clearly with context — include enough detail that the memory will be useful in future sessions.
-
Determine the scope:
- Team/project knowledge (shared across team): use
save-project-memory.cjs - Personal memory (only this user): use
add-memory.cjs
- Team/project knowledge (shared across team): use
-
Save the memory using a bash command:
For personal memory:
node "${CLAUDE_PLUGIN_ROOT}/scripts/add-memory.cjs" "CONTENT HERE"
For team/project memory:
node "${CLAUDE_PLUGIN_ROOT}/scripts/save-project-memory.cjs" "CONTENT HERE"
For long content (over ~2000 chars), pipe via stdin instead:
echo "LONG CONTENT HERE" | node "${CLAUDE_PLUGIN_ROOT}/scripts/add-memory.cjs"
When to Use Team vs Personal
- Team: Architecture decisions, coding conventions, API patterns, project setup notes, known issues
- Personal: Personal preferences, individual task notes, debugging approaches
Examples
- "Remember that we use JWT for auth" →
save-project-memory.cjs "We use JWT for authentication..." - "Save that I prefer tabs over spaces" →
add-memory.cjs "User prefers tabs over spaces" - "Note: the payment API requires idempotency keys" →
save-project-memory.cjs "Payment API requires idempotency keys..."
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 · 46 lines · 23 tokens per session scan A 1ac743462149
cognis-save is a skill published in the GitHub repository Lyzr-Cognis/claude-cognis (20 stars, last pushed 5mo ago), licensed MIT. It adds 23 tokens to every session and 385 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.
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