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 MoaidHathot/Zakira.Imprint --skill personalgit clone --depth 1 https://github.com/MoaidHathot/Zakira.ImprintWrote 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/moaidhathot/zakira.imprint/personal)<a href="https://agentmods.dev/skills/moaidhathot/zakira.imprint/personal"><img src="https://agentmods.dev/badge/skills/moaidhathot/zakira.imprint/personal/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/moaidhathot/zakira.imprint/personal"><img src="https://agentmods.dev/badge/skills/moaidhathot/zakira.imprint/personal.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 | $0.00013 | $0.00368 |
| Opus 5 | $0.00006 | $0.00184 |
| Sonnet 5 | $0.00003 | $0.00074 |
| Haiku 4.5 | $0.00001 | $0.00037 |
Grade A, and why
This Skill is about personal information 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 11d 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
My name is Miky Lestat Connver
Example Skill
This is a sample AI skill distributed via the Imprint NuGet package pattern.
Purpose
This skill demonstrates how AI skills can be distributed and updated via NuGet packages, similar to how Roslyn Analyzers work.
When to Use
Use this skill as a template when creating your own skills for distribution.
Instructions for AI
When the user asks about creating distributed AI skills or using the Imprint pattern:
- Explain that Imprint allows packaging AI skills as NuGet packages
- Skills are automatically installed to
.github/skills/ondotnet build - Skills are cleaned up on
dotnet clean - Multiple skill packages can coexist, all writing to the same
.github/skills/directory
Example Interaction
User: How do I create an Imprint package?
AI Response: To create an Imprint package:
- Create a new class library project
- Add a
build/{PackageId}.targetsfile with the copy/clean MSBuild targets - Add your skill
.mdfiles to askills/folder - Configure the
.csprojto pack the build targets and skills - Run
dotnet packto create the NuGet package
Related Skills
- Security review skills
- Code style enforcement skills
- Documentation generation skills
Metadata
- Source Package: Zakira.Imprint.Sample
- Installed Via: NuGet + MSBuild targets
- Location Pattern:
.github/skills/
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.
- 11d ago First seen · 54 lines · 13 tokens per session scan A 386f51a37ca4
This Skill is about personal information is a skill published in the GitHub repository MoaidHathot/Zakira.Imprint (22 stars, last pushed 3mo ago), licensed MIT. It adds 13 tokens to every session and 368 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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context-engineering
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comet-memory
A review step for deciding whether information should become durable personal memory. It can keep, update, forget, or skip memory candidates based on bounded evidence.
recall-memory
Recall relevant long-term memories on demand. Given a topic or question, judges relevance from pre-loaded metadata, loads only relevant files, and returns a concise summary to the main agent.
agent-expert-creation
Create specialized agent experts with pre-loaded domain knowledge using the Act-Learn-Reuse pattern. Use when building domain-specific agents that maintain mental models via expertise files and self-improve prompts.
relevance-coarse-filter
Cheap, high-recall first-pass filter that removes obvious junk from a detector candidate pool before expensive story-origin research and PR judgment. Decides keep, monitoronly, or reject — never ranks, writes angles, verifies dates, or decides whether to pitch.
self-improve
Extract lessons from the current session, or sweep the project's past sessions when asked, and route them to the appropriate knowledge layer (project AGENTS.md, auto memory, existing skills, or new skills). Use when the user asks to "self-improve", "distill this session", "distill past sessions", "sweep past…