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 agentmods add skills/masrisystems/dot-agents/unified-memorynpx skills add masrisystems/dot-agents --skill unified-memorygit clone --depth 1 https://github.com/masrisystems/dot-agentsWrote 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/masrisystems/dot-agents/unified-memory)<a href="https://agentmods.dev/skills/masrisystems/dot-agents/unified-memory"><img src="https://agentmods.dev/badge/skills/masrisystems/dot-agents/unified-memory.svg" alt="Measured on agentmods" 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 | $0.00060 | $0.01327 |
| Opus 5 | $0.00030 | $0.00664 |
| Sonnet 5 | $0.00012 | $0.00265 |
| Haiku 4.5 | $0.00006 | $0.00133 |
Grade A, and why
unified-memory 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 5d 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
No licence file
A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.
What ships with it
1 file 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.
- 5d ago First seen · 169 lines · 60 tokens per session scan A 86b4923b1a41
unified-memory is a skill published in the GitHub repository masrisystems/dot-agents (0 stars, last pushed 4d ago), with no licence file. It adds 60 tokens to every session and 1,327 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.
Other skills, from other repositories
memory-system
Tiered, low-token project memory protocol for .toh/memory/ — 7 files across 3 tiers (Tier 1 active.md + summary.md always read, 800 tokens; Tier 2 architecture/components for build work and changelog for debug work; Tier 3 decisions/agents-log only on demand). Auto-saves after task completion with zero user effort…
session-recovery
Seamless continuation across sessions and IDEs — on session start, read .toh/memory/ and greet the user with where the last session left off so nothing needs re-explaining. Handles first run (no memory yet), mid-task resume, and returns after days or weeks. Use at the start of every new session or when the user says…
PARA Kit
PARA workspace structure reference — schema, layout, kernel governance, and intelligence routing.
self-improvement
Enables the AI Agent to continuously improve developer velocity and code quality by recording terminal failures, recurring TDD errors, and architectural drift into the para-graph memory, and retrieving past resolutions to avoid repeating mistakes.
PARA Knowledge Sidecar
Sidecar data and templates for the /para-knowledge workflow.
context-engineering
Optimizes agent context setup. Use when starting a new session, when agent output quality degrades, when switching between tasks, or when you need to configure rules files and context for a project.