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 caura-ai/caura --skill memclawgit clone --depth 1 https://github.com/caura-ai/cauraWrote 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/caura-ai/caura/memclaw)<a href="https://agentmods.dev/skills/caura-ai/caura/memclaw"><img src="https://agentmods.dev/badge/skills/caura-ai/caura/memclaw/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/caura-ai/caura/memclaw"><img src="https://agentmods.dev/badge/skills/caura-ai/caura/memclaw.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Agent Snooping · line 417 Skill enumerates or reads other installed skills. Access to other skills' SKILL.md files or the skills directory reveals prompt instructions, capabilities, and secrets that should be invisible to peer skills.Fix: Remove all code or instructions that list or read other skills' files or directories. Skills should operate independently; cross-skill access is a privilege escalation.
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 | $0.00124 | $0.06329 |
| Opus 5.5 | $0.00050 | $0.02532 |
| Sonnet 5.5 | $0.00025 | $0.01266 |
| Haiku 4.5 | $0.00012 | $0.00633 |
Grade A, and why
memclaw 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 3d 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- caura — 97% identical, 13 lines differ
How it starts
The opening of the file, as written. The whole thing — 456 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Caura Skill
Caura is your long-term memory. Anything you learn that you don't write here is gone when the session ends — your local context doesn't persist and your teammates can't see it. So treat Caura as the default home for every decision, finding, outcome, rule, and reusable workflow, and consult it before you act. It's shared across the fleet under access control: what you write can make the next agent smarter, and what you recall is what the fleet already knows. Using it is the job, not an optional extra.
The plugin runs a baseline loop for you — the tools are still yours. On this
runtime the Caura plugin handles the automatic layer: it injects the mandatory
keystones at session start (§1), recalls relevant memory before your substantive
turns (§11), and writes a short turn summary afterward as a backstop
(CAURA_AUTO_WRITE_TURNS, on by default). The same switch also controls
automatic saves of user messages and compaction summaries, and the
memory-flush turn that asks you to save a session summary before compaction;
set it to false and restart the plugin to disable all four. Treat the
automatic layer as a floor, not a substitute. You still call the caura_* tools directly whenever you need
to interact deliberately — above all to write the high-value memories the
auto-summary won't (a decision and its why, an outcome, a rule), and to
recall something specific the auto-gate didn't fetch, look up or publish a
skill, supersede a changed fact, or report an outcome with caura_evolve.
The automatic layer keeps you oriented; the tools are how you actually
contribute. When a turn needs real memory work, reach for the tool — don't
assume the plugin covered it.
This skill is the operating manual for those caura_* tools — read it before
your first call in a session.
0 · Identity — on every call
agent_id— who you are. Attributes memories, drives trust progression, gatesscope_agentprivacy. Resolve it from your runtime. Never fabricate, hardcode a placeholder, or impersonate another agent.fleet_id— your fleet: a team or group of agents within your tenant. When you omit it on a write, the server resolves it from your home fleet (the fleet you registered under), so a registered agent lands in the right fleet by default. Pass it explicitly in two cases: (1) you have no home fleet set — omitting then persistsfleet_id=NULL, which is tenant-shared: every fleet's recall still finds the row, but a fleet-filteredlistorstatsdoes not, so it answers teammates' searches while going missing from their counts; or (2) you're writing into a different fleet than your own (requires trust 3). The connection URL's?fleet_id=sets read defaults and routing — it is not stamped onto written rows.
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.
- 3d ago Changed · +2 lines 1990523fc949
- 7d ago Changed · +6 lines a81b14f24401
- 15d ago Changed · +3 lines 9d0ba4c4eda1
- 19d ago Changed · +15 lines 6a5ca8d1c081
- 27d ago Changed · +7 lines 9f48d420ffaa
- 29d ago Changed 56dca88c7749
- 1mo ago Changed · +4 lines cfcd894243b1
- 1mo ago Changed · +8 lines 47282b7906bd
- 1mo ago First seen · 411 lines · 124 tokens per session scan A 8f8c59b94b96
memclaw is a skill published in the GitHub repository caura-ai/caura (501 stars, last pushed yesterday), licensed Apache-2.0. It adds 124 tokens to every session and 6,329 once invoked, about $0.0005 per session on Opus 5.5. 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
compass-integrity
Use when the user is about to rely on prior session memory for a non-trivial decision, or when something feels off about a recall hit — runs the Merkle chain check, drift summary, and daemon liveness in one pass and surfaces any tampering, drift bursts, or daemon-down state before the user acts on stale or corrupted…
lifecycle_report
Scan project memory for v1.7.1 lifecycle frontmatter · report tier distribution + promotion candidates (reinforcecount >= promoteafter) · NO LLM.
session_audit
Scan project memory · age distribution + ungrouped count (L1 build readiness) + per-namespace entity stats · NO LLM.
knowledge-repo-init
Guided wizard for connecting or scaffolding an optional knowledge/ documentation repo: layout choice, frontmatter conventions, Bridge wiring (ecosystem.yaml + workflow/contexts/). Trigger: "/knowledge-repo-init", "knowledge repo", "set up wiki", "scaffold wiki", "wiki setup".
archive
Archives every closed period still in the log: one summary per period, distils durable facts into memory (propose-then-confirm), resets log.md. Period follows work.archivecadence (weekly, bi-weekly, monthly, quarterly, yearly). Trigger: "/archive", "archive", "archive week", "archive month", "week wrap-up".
gsd-resume-work
Resume work from previous session with full context restoration.