Borrowing it
Nothing to install: this file belongs to 3062-in-zamud/knowledgine. 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/3062-in-zamud/knowledgine/develop/.agents/skills/knowledgine-recall/SKILL.mdgit clone --depth 1 https://github.com/3062-in-zamud/knowledgineWrote 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/3062-in-zamud/knowledgine/knowledgine-recall)<a href="https://agentmods.dev/skills/3062-in-zamud/knowledgine/knowledgine-recall"><img src="https://agentmods.dev/badge/skills/3062-in-zamud/knowledgine/knowledgine-recall/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/3062-in-zamud/knowledgine/knowledgine-recall"><img src="https://agentmods.dev/badge/skills/3062-in-zamud/knowledgine/knowledgine-recall.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 | $0.00063 | $0.00777 |
| Opus 5 | $0.00032 | $0.00388 |
| Sonnet 5 | $0.00013 | $0.00155 |
| Haiku 4.5 | $0.00006 | $0.00078 |
Grade A, and why
knowledgine-recall 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.
How it starts
The opening of the file, as written. The whole thing — 86 lines — stays where its author put it; the contents beside it link to each section on GitHub.
knowledgine-recall
Purpose
Search accumulated project knowledge before solving problems from scratch. The knowledge base contains past bug fixes, design decisions, troubleshooting records, and patterns gathered across all previous sessions. Searching first avoids duplicate work and surfaces warnings about known pitfalls.
When to Use
- Error or exception encountered — Search for the exact error message or key terms
- Unfamiliar code area — Search for context about the component or module
- Implementation choice — Search for past decisions on the same topic
- Considering a library or approach — Search for known gotchas or prior art
- Starting work on a file — Search for related notes about that file path
When NOT to Use
- Purely mechanical tasks with no ambiguity (renaming a variable, formatting)
- When you have already searched and found no relevant results within this session
- Do not call recall on every single action — use judgment
How to Search (MCP Tool)
Use the search_knowledge MCP tool:
search_knowledge(
query: string, // Search query — see query tips below
mode: "keyword" // "keyword" | "semantic" | "hybrid"
| "semantic" // keyword: exact text match (fast, precise)
| "hybrid", // semantic: meaning-based (requires embeddings)
// hybrid: combines both (best results)
limit?: number // Max results (default 10)
)
How to Search (CLI Alternative)
knowledgine recall "<query>" # keyword search
knowledgine recall "<query>" --mode semantic # semantic search
knowledgine recall "<query>" --mode hybrid # hybrid search
Choosing Search Mode
| Situation | Mode |
|---|---|
| You have an exact error message | keyword |
| You remember specific function or variable names | keyword |
| You know the concept but not the exact wording | semantic |
| General exploration of a topic | hybrid |
| Embeddings not available (FTS5-only setup) | keyword (only option) |
What ships with it
2 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.
- 12d ago First seen · 86 lines · 63 tokens per session scan A 9a8f11c92235
knowledgine-recall is a skill published in the GitHub repository 3062-in-zamud/knowledgine (3 stars, last pushed 1mo ago), licensed MIT. It adds 63 tokens to every session and 777 once invoked, about $0.0003 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 2026-08-31.
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