slm-compress
Compress large text, tool output, or transcripts to reduce context-window usage while keeping the full 1M window intact — call slm_compress(content, mode…
Skill by qualixar
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/qualixar-slm-compress-4bca93
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Use cases: writing
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What's inside
- Skill name
slm-compress- Description
- Compress large text, tool output, or transcripts to reduce context-window usage while keeping the full 1M window intact — call slm_compress(content, mode, reversible, ttl_seconds) to shrink content; if the result is lossy a ccr_id is returned so you can call slm_retrieve(ccr_id) later to recover the exact original; always fail-open (ok:false → continue with the original).
- License
- AGPL-3.0
- Instructions
- 145 lines in SKILL.md · view on GitHub
Files (1)
- SKILL.md
SKILL.md (first lines)
# slm-compress — Reversible Context Compression (Surface B)
## Purpose
When a tool output, transcript, or accumulated context grows large enough to crowd out working space, `slm_compress` reduces it in-place. The compressed form is used for the remainder of the session; the exact original is recoverable on demand via `slm_retrieve`. This works without a proxy and without touching `ANTHROPIC_BASE_URL`, so the full 1M context window is never sacrificed.
## Primary MCP Tool: slm_compress
```
slm_compress(
content: str, # required — text to compress (max 1 MB)
mode: str = "auto", # "normalize" | "auto" | "aggressive"
reversible: bool = True, # store original in CCR for later retrieval
ttl_seconds: int = 86400, # CCR lifetime in seconds (default 24 h)
) -> dict
```
### Return dict (all keys always present)
| Key | Type | Meaning |
|-----|------|---------|
| `ok` | bool | `True` on success; `False` on internal error or empty input |
| `compressed` | str | Compressed text (or original on failure) |
| `strategy` | str | Which strategy was applied (e.g. `"normalize"`, `"none"`) |
| `tokens_before` | int | Word-count estimate of the input |
| `tokens_after` | int | Word-count estimate of the output |
| `ratio` | float | `tokens_after / tokens_before` (lower = more compact) |
| `lossy` | bool | Whether information was removed |
| `ccr_id` | str \| None | UUID4 session token; present only when `lossy=True` and `reversible=True` |
| `note` | str \| None | Human-readable note (e.g. warnings, recovery hint) |
### Mode semantics (verified from source)
- **`"normalize"`** — lossless whitespace collapse; no daemon dependency; `lossy: false`, `ccr_id: null`.
- **`"auto"`** — delegates to `CompressRouter`; may be lossy depending on daemon config; default.
- **`"aggressive"`** — requests aggressive compression from the daemon; daemon must have `compress_mode=aggressive` set in config; note field will warn if daemon config does not match.
## Recovery Tool: slm_retrieve
When `slm_compress` returns `lossy: true`, the original is stored under the `ccr_id`. Use `slm_retrieve` to get it back:
```
slm_retrieve(ccr_id: str) -> dict
```
| Key | Type | Meaning |
|-----|------|---------|
| `ok` | bool | `True` when content was found |
| `content` | str \| None | Original text, decoded from UTF-8 (or Latin-1 fallback) |
| `size_bytes` | int | Byte length of the stored original |
| `error` | str \| None | Error message on failure; `None` on success |
`ccr_id` must be a valid UUID4. Non-UUID4 strings return `ok: false` immediately.
### CCR security rule
`ccr_id` values are **unguessable session tokens**, and the stored original can be read back only by the same agent (or, for a remote caller, the same access key) that compressed it. Treat them like short-lived credentials:
- Never log them.
- Never share them across agents.
- Never pass them as tool arguments to any tool other than `slm_retrieve`.
- Never compress a `ccr_id` string itself.
- They expire after `ttl_seconds` (default 24 h); `slm_retrieve` returns `ok: false` after expiry.
## Decision: When to Compress
**Compress when:**
- A single tool output or transcript exceeds approximately 2 000 characters.
- You are accumulating repeated context (e.g. full file reads across multiple steps).
- Context is nearing the point where recall quality or response quality degrades.
**Do NOT compress:**
- Code you are about to read, edit, or diff — you need every character.
- JSON you will parse programmatically — compression may alter structure.
- Secrets, credentials, or `ccr_id` strings.
- Anything under ~500 characters — overhead exceeds benefit.
- The compressed form of content already compressed this session.
## Fail-Open Guarantee
`slm_compress` never raises an exception. On any internal error it returns:
```json
{ "ok": false, "compressed": "<original input>", "ratio": 1.0, ... }
```
**When `ok` is `false`, continue with the original content.** Never block a task waiting for compression to succeed.
## Worked Example
```python
# Step 1: compress a large tool output
result = await slm_compress(
content=long_log_text,
mode="auto",
reversible=True,
ttl_seconds=3600,
)
if result["ok"]:
working_text = result["compressed"]
ccr_id = result["ccr_id"] # None if lossless
else:
working_text = long_log_text # fail-open
ccr_id = None
# ... work with working_text ...
# Step 2: restore original when needed (e.g. before final summary)
if ccr_id:
restore = await slm_retrieve(ccr_id=ccr_id)
if restore["ok"]:
original_text = restore["content"]
```
## Secondary CLI (fallback when MCP is unavailable)
Prefer the MCP tools above. If you must use the command line:
```bashFrom qualixar/superlocalmemory, AGPL-3.0.
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Signals
- Stars
- 257
- Forks
- 36
- Open issues
- 3
- Contributors
- 13
- Last commit (this folder)
- Oct 22, 2026 (6 days ago)
- Last release
- Oct 22, 2026 (6 days ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- AGPL-3.0
- Repository
- github.com/qualixar/superlocalmemory
- Website
- www.superlocalmemory.com
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Compress large text, tool output, or transcripts to reduce context-window usage while keeping the full 1M window intact — call slm_compress(content, mode…
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Compress large text, tool output, or transcripts to reduce context-window usage while keeping the full 1M window intact — call slm_compress(content, mode…
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Compress large text, tool output, or transcripts to reduce context-window usage while keeping the full 1M window intact — call slm_compress(content, mode…
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Compress large text, tool output, or transcripts to reduce context-window usage while keeping the full 1M window intact — call slm_compress(content, mode…
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Cite this page
slm-compress skill. Agent Mart. https://agentmart.dev/skills/qualixar-slm-compress-4bca93 (last updated 2026-10-24)