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 athola/claude-night-market --skill compression-strategygit clone --depth 1 https://github.com/athola/claude-night-marketWrote 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/athola/claude-night-market/compression-strategy)<a href="https://agentmods.dev/skills/athola/claude-night-market/compression-strategy"><img src="https://agentmods.dev/badge/skills/athola/claude-night-market/compression-strategy/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/athola/claude-night-market/compression-strategy"><img src="https://agentmods.dev/badge/skills/athola/claude-night-market/compression-strategy.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00030 | $0.01307 |
| Opus 5 | $0.00015 | $0.00654 |
| Sonnet 5 | $0.00006 | $0.00261 |
| Haiku 4.5 | $0.00003 | $0.00131 |
Grade A, and why
compression-strategy 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 7d 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 — 181 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Compression Strategy
Analyze current context usage and recommend optimal compression strategies.
When To Use
- Context feels bloated or sluggish
- Before major task phase transitions (plan complete, starting implementation)
- Token quota burning faster than expected
- After large tool output accumulations
When NOT To Use
- Context-optimization skill already handling the scenario
- Simple queries with minimal context
- Freshly cleared context
Required TodoWrite Items
compression-strategy:analyze-contextcompression-strategy:recommend-strategycompression-strategy:estimate-savings
Step 1 – Analyze Context (analyze-context)
Run /context to check current usage. Then estimate:
- Tool output accumulation: How much context is from tool results vs. conversation?
- Stale content age: How many turns since critical decisions were made?
- Active files: Which files are still relevant vs. historical?
Step 2 – Recommend Strategy (recommend-strategy)
Based on analysis, recommend one of:
Option A: /clear and /catchup
Best when:
- Task phase complete (planning done, implementation starting)
- Context > 60% full
- Most content is stale
Process:
- Save critical state to
.claude/session-state.md - Run
/clear - Run
/catchupto reload active files
Option B: Spawn Continuation Agent
Best when:
- Context > 80% full
- Work in progress, can't stop
- Delegatable tasks remain
Process:
- Run
Skill(conserve:clear-context)to spawn continuation agent - Agent receives fresh context with saved state
Option C: Archive and Summarize
Best when:
- Context 40-60% full
- Some stale content mixed with active
- Not ready for full clear
Process:
- Archive old decisions/errors to
.claude/context-archive/ - Summarize completed work in memory
- Continue with leaner context
Option D: Delegate to Subagent
Best when:
- Parallel work possible
- Independent subtasks exist
- Context pressure moderate
Process:
- Identify delegatable tasks
- Spawn specialized agents via
Tasktool - Main context stays lean
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.
- 7d ago First seen · 181 lines · 30 tokens per session scan A accc28b78240
compression-strategy is a skill published in the GitHub repository athola/claude-night-market (337 stars, last pushed today), licensed MIT. It adds 30 tokens to every session and 1,307 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 2026-09-03.
Other skills, from other repositories
setup
Initialize any folder as a Bedrock-powered Obsidian vault. Creates entity directories, copies templates, configures language and domain taxonomy, scaffolds connected example entities, and checks dependencies. Use when: "bedrock setup", "bedrock-setup", "/bedrock:setup", "initialize vault", "setup vault", "create…
sync
Re-synchronizes the vault with external sources. In default mode, scans the sources field of all entities, deduplicates URLs, fetches updated content from each source (Confluence, GDocs, GitHub, Markdown), performs incremental diff and delegates writing to /bedrock:preserve. With --people, scans actor repositories via…
preserve
Single write point for the vault. Centralizes entity detection, textual matching, entity creation/update, and bidirectional linking. Accepts structured input (list of entities), free-form input (text, meeting notes, session context), or graphify output (graph.json + obsidian markdown from /graphify pipeline). Use…
ask
Adaptive vault reader skill. Receives a natural language question, searches the vault first (Glob/Grep, entity reads, wikilink traversal), then self-assesses whether more context is needed. Escalates to /graphify for graph-level understanding or to /bedrock:teach for remote content ingestion only when the vault alone…
compress
Vault alignment engine. Detects and fixes 5 types of structural misalignments: broken backlinks, concept fragmentation, entity miscategorization, duplicated entities, and misnamed entities. Delegates all writes to /bedrock:preserve. Supports interactive mode (user confirmation) and cron mode (autonomous mechanical…
gdoc-to-markdown
Internal fetcher module for Google Docs and Sheets. Fetches content via MCP (preferred, when available), Google API with bearer token or public URL export (fallback), or browser DOM extraction via Claude in Chrome (last resort) and returns Markdown. Used by /bedrock:teach and /bedrock:sync — not intended for direct…