Borrowing it
Nothing to install: this file belongs to samzong/Recall. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/samzong/Recall/main/.agents/skills/recall-ext/SKILL.mdgit clone --depth 1 https://github.com/samzong/RecallWrote 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/samzong/recall/recall-ext)<a href="https://agentmods.dev/skills/samzong/recall/recall-ext"><img src="https://agentmods.dev/badge/skills/samzong/recall/recall-ext.svg" alt="Measured on agentmods" 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 | $0.00031 | $0.00504 |
| Opus 5 | $0.00015 | $0.00252 |
| Sonnet 5 | $0.00006 | $0.00101 |
| Haiku 4.5 | $0.00003 | $0.00050 |
Grade A, and why
recall-ext 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 today.
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 — 52 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Recall Ext
Read extensions/AGENTS.md and docs/extensions.md for the extension boundary,
CLI protocol, and managed-install contract. Compare implementation with the
contract; resolve disagreements before changing behavior.
Develop
- Use
extensions/recall-probe/for the minimal package layout. Add the newrecall-<name>binary to workspace members and keep its version independent of core. - Implement
--recall-extension-manifestwithname, packageversion,protocol, andmin_recall. Choose compatibility values from the CLI features actually consumed; do not copy the probe's legacy values orcommandsfield into a new extension. - Pass an explicit
--projecton scoped Recall queries and syncs; useallonly for global work. Omitted scope follows the caller's working directory. recall session show --format jsonreturns metadata by default. Request--messagesor--include metadata,messageswhen reading transcripts.- For host changes, trace
src/extension.rsagainst the managed-install contract: official catalog, checksum and manifest validation, managed-only dispatch and removal. Do not add PATH discovery or a third-party registry.
Verify
Run the relevant package checks and exercise its CLI protocol:
cargo build -p recall-<name>
cargo test -p recall-<name>
cargo run -p recall-<name> -- --recall-extension-manifest
For host changes, run cargo test --lib extension::tests; for catalog changes,
check cargo run -- ext list --available. Run root make check before ship.
Release
Bump the package version only when a release is requested. Follow
.github/workflows/extension-release.yml for version/tag validation, target
packaging, publication, and catalog generation. Extension tags are
recall-<name>-v<version>; a core tag does not release an extension.
Verify the affected target archives, manifests, and SHA-256 checksums using
that workflow. Never hand-edit website/public/extensions/catalog.json or
couple extension and core releases unless protocol compatibility requires it.
What ships with it
1 file 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.
- today Changed · -60 lines · -29 tokens per session 974d1c18e7fc
- 6d ago First seen · 112 lines · 60 tokens per session scan A 4f7a1763a1ff
recall-ext is a skill published in the GitHub repository samzong/Recall (96 stars, last pushed today), licensed MIT. It adds 31 tokens to every session and 504 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 2026-08-30.
Other skills, from other repositories
solon-development-skill
Solon Java framework expert (NOT Spring). Use for Solon apps, Solon AI (ChatModel/RAG/MCP/Agent/Harness/Talent), Solon Flow, Solon Cloud, Nami RPC, SqlUtils/MyBatis, and Solon annotations (@Mapping, @Inject, @SolonMain, @Component). Independent IoC/AOP and plugins — never use Spring annotations or spring-boot…
orbit
Orbit — the task/audit/dispatch layer for AI coding agents. Use for anything touching a task ID, .orbit/, orbit CLI or orbit. MCP tools, the docs corpus, friction records, jobs and jrun- runs, routines, auto-tasks, the sweep clock, worktree GC, the dashboard, or setting Orbit up on a machine or repository. Covers both…
gno
Search local documents, files, notes, and knowledge bases. Index directories, search with BM25/vector/hybrid, get AI answers with citations. Use when user wants to search files, find documents, query notes, look up information in local folders, index a directory, set up document search, build a knowledge base, needs…
simplicio-orient
Terminal-first execution — answer facts with the shell, never with the LLM. Use whenever a step needs a fact about the filesystem, git, processes, or system resources, or runs a build/test/lint/diff whose output would flood context. Substitutes deterministic shell/CLI calls for native LLM operations and clamps their…
simplicio-autoresearch
Evolutionary optimize-by-metric loop — mutate a target, evaluate against fixed criteria, KEEP if the score improves (commit) or REVERT if it doesn't (git checkout), repeat, plateau-break after N stagnated runs. Adapts Karpathy's autoresearch pattern (and the ECC autoresearch-agent) with mandatory yool guardrails (§11…
simplicio-learn
Persist what a run taught you so the next run is cheaper and more correct — mine high-signal lessons from the trajectory, dedup them, and write them back to AGENTS.md / memory so they're applied not re-derived. Use after a run or at session end, when the user says "remember this", "do a retrospective", "learn from…