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 Bilal140202/the-lord-of-the-skills --skill kingdaddy007__my-osgit clone --depth 1 https://github.com/Bilal140202/the-lord-of-the-skillsWrote 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/bilal140202/the-lord-of-the-skills/kingdaddy007__my-os)<a href="https://agentmods.dev/skills/bilal140202/the-lord-of-the-skills/kingdaddy007__my-os"><img src="https://agentmods.dev/badge/skills/bilal140202/the-lord-of-the-skills/kingdaddy007__my-os/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/bilal140202/the-lord-of-the-skills/kingdaddy007__my-os"><img src="https://agentmods.dev/badge/skills/bilal140202/the-lord-of-the-skills/kingdaddy007__my-os.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 | $0.00040 | $0.00700 |
| Opus 5 | $0.00020 | $0.00350 |
| Sonnet 5 | $0.00008 | $0.00140 |
| Haiku 4.5 | $0.00004 | $0.00070 |
Grade A, and why
Context Hygiene & Session Management 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 — 66 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Context Hygiene & Session Management
Purpose
AI context windows degrade as conversations grow. After ~30+ exchanges, the AI loses track of earlier constraints, starts hallucinating details, and wastes tokens re-reading irrelevant history.
This skill teaches Anti-Gravity to actively manage session boundaries automatically — securing all progress to disk before the user moves to a clean chat window.
When to Advise a Session Split
Recommend the user open a new chat window when:
- The task changes significantly. If we finished debugging and are now building a new feature, that is a new session.
- The conversation exceeds ~30 exchanges. Context quality degrades. Proactively say: "We've covered a lot. I recommend starting a fresh chat for the next piece so I stay sharp."
- Multiple unrelated tasks are being discussed. Each task deserves its own clean context.
- A micro-task sequence is complete. After finishing a planned set of tasks, suggest: "Good stopping point. For the next batch, a fresh session will give you better results."
How to Execute a Handoff (The Zero-Friction Method)
Never ask Beloved to manually copy-paste a "Handoff Brief." Instead, perform these two steps automatically:
Step 1: Secure Long-Term Knowledge (Memory)
Before suggesting a split, ensure all permanent knowledge from this session is written to disk:
- Did we make an architectural choice? Write it to
.agents/memory/decisions-log.md. - Did we learn what not to do? Write it to
.agents/memory/mistakes-to-avoid.md. - Did we establish a new convention? Write it to
.agents/memory/common-patterns.md.
Step 2: Secure Immediate State (Workflow)
Update .agents/workflow-state.json so the next session knows exactly where to resume.
Ensure the notes, key_decisions, and phases fields are perfectly up to date.
Reference format from GLOBAL_MEMORY.md:
{
"workflow": "build-feature",
"current_phase": "IMPLEMENT",
"completion_pct": 64,
"notes": "Finished the UI layout. Next session must focus on wiring the submit button to the API.",
"key_decisions": ["Used Flexbox instead of Grid for the main container"],
"blockers": []
}
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 · 66 lines · 40 tokens per session scan A b5984b88a12d
Context Hygiene & Session Management is a skill published in the GitHub repository Bilal140202/the-lord-of-the-skills (4 stars, last pushed 6d ago), licensed MIT. It adds 40 tokens to every session and 700 once invoked, about $0.0002 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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