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 hamzaPixl/pixl-ai --skill strategic-compactgit clone --depth 1 https://github.com/hamzaPixl/pixl-aiWrote 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/hamzapixl/pixl-ai/strategic-compact)<a href="https://agentmods.dev/skills/hamzapixl/pixl-ai/strategic-compact"><img src="https://agentmods.dev/badge/skills/hamzapixl/pixl-ai/strategic-compact/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/hamzapixl/pixl-ai/strategic-compact"><img src="https://agentmods.dev/badge/skills/hamzapixl/pixl-ai/strategic-compact.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 | $0.00048 | $0.00534 |
| Opus 5.5 | $0.00019 | $0.00214 |
| Sonnet 5.5 | $0.00010 | $0.00107 |
| Haiku 4.5 | $0.00005 | $0.00053 |
Grade A, and why
strategic-compact 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 1mo 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 — 67 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Strategic Compact
Guide intelligent context management before compaction.
Step 1: Assess Current Context
Identify what's currently in the context window:
- Files read (which ones, how recently)
- Decisions made (architectural choices, trade-offs)
- Active tasks (what's in progress, what's done)
- Tool call history (what's been tried, what worked)
Step 2: Classify by Retention Priority
| Priority | What | Action |
|---|---|---|
| Must keep | Current task description and acceptance criteria | Preserve |
| Must keep | Architectural decisions made this session | Preserve |
| Must keep | Error messages and their resolutions | Preserve |
| Should keep | File paths and key line numbers | Summarize |
| Should keep | API contracts and type definitions | Summarize |
| Can discard | Full file contents already edited | Discard |
| Can discard | Search results from completed lookups | Discard |
| Can discard | Tool call metadata and verbose outputs | Discard |
Step 3: Generate Compact Summary
Create a compact state document:
## Active Task
<1-2 sentence description of what we're doing>
## Key Decisions
- <decision 1>
- <decision 2>
## Files Modified
- `path/to/file.ts` — <what was changed>
## Blocked On / Next Steps
- <what needs to happen next>
## Important Context
- <any critical information that would be lost>
Step 4: Recommend Action
Based on context usage, recommend:
- Continue — context is fine, no action needed
- Summarize — compress verbose outputs, keep key facts
- Save and clear — run
/session-wrapthen/clear - Delegate — offload remaining work to a subagent with a context packet
Output
Present the compact summary and recommendation. If the user approves, save to .claude/memory/pre-compact-<timestamp>.md.
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.
- 1mo ago First seen · 67 lines · 48 tokens per session scan A d478e62c4d2e
strategic-compact is a skill published in the GitHub repository hamzaPixl/pixl-ai (2 stars, last pushed 6mo ago), licensed MIT. It adds 48 tokens to every session and 534 once invoked, about $0.0002 per session on Opus 5.5. 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 2026-09-03.
Other skills, from other repositories
Migrate
Intakes external content (notes, CLAUDE.md, Cursor rules, Obsidian/Notion/Apple Notes exports), classifies chunks against the LifeOS taxonomy, and commits with provenance after confidence-tiered approval. USE WHEN /migrate, migrate content, import from other LifeOS, bring in old notes, import Cursor rules, import…
Cortex
LifeOS memory, prior-session recall, and learning capture. USE WHEN capture this learning, document this learning, what did we learn recently, recent learnings, cortex, knowledge, knowledge base, search knowledge, what do we know about, archive, harvest, knowledge status, develop note, add to knowledge, add a people…
wiki-dashboard
Create dynamic, queryable Obsidian dashboard views using Bases or Dataview. Use for auto-updating tables, indexes, or structured views of vault content; not for ordinary question answering.
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.
session-compact
AI DevKit · Compact a historical AI coding session with Jev when context is long, work is handed off or resumed, or durable continuation facts and memory candidates need extraction.
daily-briefing
Proactive daily briefing that fires on a recurring schedule, pulls recent memory and workspace context, composes a structured summary (action items, progress, radar, next steps), and delivers it to all active channels. Enable with a time like "set up my daily briefing at 9am". Disable, reschedule, or check status at…