Slm Loop

What it does

When your agent uses it

• A task has a checkable acceptance condition (tests
• Reconciliation) and you must iterate until an INDEPENDENT gate passes — never stopping just because the agent believes it is done

Example prompts

• “/slm-loop”

Requirements

• Pre-approved tools (allowed-tools): Bash, recall

Workflow steps

3 steps, taken from the first numbered list in SKILL.md.

1. 1Run or resume the loop.
2. 2Read back the ledger with slm loop show (or slm recall on tag
3. 3Report the exact terminal status, the lap count, and the gate's final

What it can do on your machine

Read from SKILL.md and the folder at commit ce2d7a9. It shows what the files ask for, not the result of running them.

• Tool permissions

  Pre-approves these tools, so the agent can use them without asking each time:

  • Bash
  • recall

  From allowed-tools in the SKILL.md frontmatter.

• Runs code

  No scripts in the folder and no shell commands in SKILL.md (its code samples are bash).

  From the folder's file list and the shell code blocks in SKILL.md.

• Network

  No URLs in SKILL.md.

  From URLs in SKILL.md, links to its own repository left out.

• Credentials

  Names no API keys, tokens, secrets or passwords.

  From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Slm Loop loads about 1.2k tokens when it runs. Until then it costs about 153 tokens; SKILL.md has 516 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it

~153

When it runs · the whole SKILL.md, loaded when a task matches

~1.2k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

• NotePre-approves every shell command (allowed-tools: Bash)SKILL.md

  allowed-tools: Bash, recall

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from qualixar/superlocalmemory at commit ce2d7a9, republished under its AGPL-3.0 licence (© qualixar). 516 words, ~1,159 tokens.

name

slm-loop

description

Run gate-verified bounded loops with SuperLocalMemory as the durable ledger. Use when a task has a checkable acceptance condition (tests, schema, lint, reconciliation) and you must iterate until an INDEPENDENT gate passes — never stopping just because the agent believes it is done. `slm loop demo` runs a keyless convergence demo; `slm loop history` and `slm loop show <run_id>` inspect past runs whose every lap is persisted as queryable SLM memory (tag `loop:<name>`). Terminal statuses are DONE / HALT / PAUSE / KILLED / ERROR — report them exactly, never converting HALT/PAUSE/ERROR into success.

allowed-tools

Bash, recall

when_to_use

run a bounded loop, gate-verified task, iterate until tests pass, verify against an independent gate, don't trust the agent's own done claim, slm loop…

slm loop demo [--iterations N] [--json]   # keyless convergence demo
slm loop history [--name NAME] [--json]   # list recorded runs
slm loop show <run_id> [--json]           # every lap of one run

© qualixar, AGPL-3.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in plugin/skills/slm-loop of qualixar/superlocalmemory.

Open the folder on GitHubat commit ce2d7a9