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 ychampion/cskill-agents --skill auto-memory-tool-permission-fencinggit clone --depth 1 https://github.com/ychampion/cskill-agentsWrote 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/ychampion/cskill-agents/auto-memory-tool-permission-fencing)<a href="https://agentmods.dev/skills/ychampion/cskill-agents/auto-memory-tool-permission-fencing"><img src="https://agentmods.dev/badge/skills/ychampion/cskill-agents/auto-memory-tool-permission-fencing/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/ychampion/cskill-agents/auto-memory-tool-permission-fencing"><img src="https://agentmods.dev/badge/skills/ychampion/cskill-agents/auto-memory-tool-permission-fencing.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 | $0.00029 | $0.00408 |
| Opus 5 | $0.00015 | $0.00204 |
| Sonnet 5 | $0.00006 | $0.00082 |
| Haiku 4.5 | $0.00003 | $0.00041 |
Grade A, and why
auto-memory-tool-permission-fencing 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 11d 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.
What it actually says
SKILL: Auto Memory Tool Permission Fencing
Domain: permissions Trigger: Apply whenever a background auto-memory agent must be limited to safe read-only commands and writes that target the memory directory. Source Pattern: Distilled from reviewed permission, shell-safety, and worktree-management implementations.
Core Method
Route every tool call from the auto-memory agent through one permission adapter. That adapter should allow only safe read operations plus tightly scoped writes into the memory directory, while rejecting all other commands with a consistent denial message. Shell access must be limited to a vetted read-only subset, and file edits must be checked against the memory path boundary before execution. This keeps the background extractor useful without giving it broad workspace or shell power.
Key Rules
- Give the forked agent one shared permission wrapper so every tool request is validated the same way before execution.
- Allow REPL only if it is necessary; the inner REPL will re-invoke the same guard so the policy stays intact.
- On denial, emit a clear message referencing the restricted commands list so the agent knows that only auto-memory-safe tools remain.
- Reject any Write/Edit outside memory, and treat
Allowdecisions as explicit acknowledgments that the target path belongs to the auto-memory directory.
Example Application
When spinning up an auto-memory extractor, pass this guard into the agent’s context so the model can safely Read the session transcript and Write the new md files without accidentally invoking git push or editing unrelated workspace files.
Anti-Patterns (What NOT to do)
- Don’t grant the forked agent unrestricted Bash access; even read-only commands should be explicitly vetted to prevent injection.
- Don’t assume tool schema validation alone is enough; permission policy still needs to re-check whether the action is safe and properly scoped.
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.
- 11d ago First seen · 28 lines · 29 tokens per session scan A e8b8a87b82be
auto-memory-tool-permission-fencing is a skill published in the GitHub repository ychampion/cskill-agents (36 stars, last pushed 5mo ago), licensed MIT. It adds 29 tokens to every session and 408 once invoked, about $0.0001 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 2026-08-30.
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