Borrowing it
Nothing to install: this file belongs to Foxfire1st/agents-remember. 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/Foxfire1st/agents-remember/main/.agents/skills/c-13-install-and-onboard/SKILL.mdgit clone --depth 1 https://github.com/Foxfire1st/agents-rememberWrote 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/foxfire1st/agents-remember/c-13-install-and-onboard)<a href="https://agentmods.dev/skills/foxfire1st/agents-remember/c-13-install-and-onboard"><img src="https://agentmods.dev/badge/skills/foxfire1st/agents-remember/c-13-install-and-onboard/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/foxfire1st/agents-remember/c-13-install-and-onboard"><img src="https://agentmods.dev/badge/skills/foxfire1st/agents-remember/c-13-install-and-onboard.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 2 findings, 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 Excessive Agency · line 268 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
- medium MCP Rug Pull · line 38 uvx/uv tool run commands without ==version create a rug-pull risk.Fix: Pin the version: uvx package-name==1.2.3
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 | $0.00053 | $0.03092 |
| Opus 5 | $0.00026 | $0.01546 |
| Sonnet 5 | $0.00011 | $0.00618 |
| Haiku 4.5 | $0.00005 | $0.00309 |
Grade A, and why
c-13-install-and-onboard 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.
How it starts
The opening of the file, as written. The whole thing — 274 lines — stays where its author put it; the contents beside it link to each section on GitHub.
c-13-install-and-onboard Install And Onboard
Take over setup after the developer has copied the harness starter package, wired the Agents Remember MCP server, and restarted the harness once.
The harness package owns harness-native files: skills, hooks, rules,
instructions, MCP registration templates, and settings templates. This skill does
not install or repair those files during first-run setup. If they are missing,
stop and tell the developer to copy the correct starter package from this repo,
render the copied package with its render-starter script or by hand, restart
the harness, and invoke this skill again.
The MCP layer still exposes deterministic maintenance tools such as
runtime_install() and skills_install(). In the normal first-run path,
skills_install() is not used because the starter package already placed the
skills where the harness can discover them. runtime_install() remains the first
runtime action this skill performs because it creates or refreshes the
coordinator scaffold under ar-coordination/.
When To Use
Use this skill after these prerequisites are in place:
-
The developer copied the harness-native starter package for the active harness into the workspace and ran that package's
render-starterscript with an explicit--repolist, or manually replaced every path, repository, and hook-command placeholder. The renderer infers the workspace root from the copied harness folder. -
The Agents Remember MCP server is registered with the harness, typically with a command like:
uvx agents-remember-mcp@latest --config <absolute path to agents-remember-settings.json> -
The harness was restarted once so it can load the MCP server, native skills, hooks, rules, and instruction files from the copied package.
If any prerequisite is missing, do not improvise a harness installer. Point the
developer at the appropriate docs/install/<harness>.md page, have them copy the
starter package, and resume after the restart.
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 · 274 lines · 53 tokens per session scan A e4183a17900b
c-13-install-and-onboard is a skill published in the GitHub repository Foxfire1st/agents-remember (27 stars, last pushed 2d ago), licensed MIT. It adds 53 tokens to every session and 3,092 once invoked, about $0.0003 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
obsidian-memory
Cross-project long-term memory over an Obsidian brain vault: recall relevant notes before a task, and persist distilled conclusions (decisions, pitfalls, solutions, progress) back after a task. The vault is an optional aggregation/projection layer — repo-local artifacts stay the per-project source of truth, and sync…
memwal
Walrus Memory SDK — portable agent memory that works across apps, sessions, and workflows. Use when users say: "add memory to my app" "portable agent memory" "integrate Walrus Memory" "AI agent memory" "memory across agents" "Walrus memory storage" "setup Walrus Memory" "recall memories".
cortex-remember-global
Store a global memory that is visible across all projects. Use when the user shares architecture rules, coding conventions, infrastructure facts, security policies, team agreements, or any knowledge that applies beyond a single project. Triggers on 'remember this everywhere', 'this applies to all projects', 'global…
cortex-automate
Set up automation — prospective memory triggers, neuro-symbolic rules, and CLAUDE.md sync. Use when the user says 'remind me when', 'trigger when', 'create a rule', 'auto-remember', 'sync to CLAUDE.md', 'push insights', 'set up trigger', 'when I open this file', 'when this keyword appears', or when you want to…
cortex-consolidate
Run memory maintenance — decay old memories, compress stale content, consolidate episodic memories into semantic knowledge, and run sleep-like replay. Use when the user says 'clean up memories', 'consolidate', 'run maintenance', 'compress old memories', 'memory cleanup', or periodically to keep the memory system…
cortex-navigate-knowledge
Navigate the knowledge graph — trace entity relationships, explore causal chains, drill into memory clusters, and traverse co-access paths. Use when the user asks 'how are these related', 'what connects X to Y', 'show me the knowledge graph', 'trace the relationship', 'what caused X', 'drill down into', 'explore…