What is reflexio-embedded?

A memory workflow that saves user facts and procedural corrections in a project’s .reflexio folder. The saved information can help the agent behave consistently across sessions.

Use it to record user preferences, project facts, and confirmed changes to how the agent should work.

It prevents the agent from repeatedly forgetting preferences, constraints, or corrections, while keeping the memory in the project.

reflexio-embedded — Skill for Claude Code and Codex by ReflexioAI

Install

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.

Any agent

npx skills add ReflexioAI/reflexio --skill plugin

Clone the repo

git clone --depth 1 https://github.com/ReflexioAI/reflexio

Made for: Claude Code, Codex.

Wrote 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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/reflexioai/reflexio/plugin/github.svg)](https://agentmods.dev/skills/reflexioai/reflexio/plugin)

Your own site

<a href="https://agentmods.dev/skills/reflexioai/reflexio/plugin"><img src="https://agentmods.dev/badge/skills/reflexioai/reflexio/plugin/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/reflexioai/reflexio/plugin"><img src="https://agentmods.dev/badge/skills/reflexioai/reflexio/plugin.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 102 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 2,269 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits

NVIDIA SkillSpector warn 7 Sept 2026

SkillSpector: 1 finding, up to high

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 →

high Privilege Escalation · line 173
Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.

Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.

How audits are shown

Origin original No closer match found in the catalogue.

Token cost

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	$0.00102	$0.02269
Opus 5.5	$0.00041	$0.00908
Sonnet 5.5	$0.00020	$0.00454
Haiku 4.5	$0.00010	$0.00227

Measured 1mo ago against content hash 43a83d79a3f9, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

reflexio-embedded 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 1mo ago.

The scan reads SKILL.md. This mod also ships 10 executable files (hook/handler.ts, hook/setup.ts, index.ts, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

Origin

Copies of this mod

1 near-identical copy found in the catalogue:

reflexio-embedded — 100% identical, 0 lines differ

reflexio/integrations/openclaw-embedded/plugin/SKILL.md · 195 lines

How it starts

The opening of the file, as written. The whole thing — 195 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Reflexio Embedded Skill

Captures user facts (profiles) and procedural corrections (playbooks) into .reflexio/, so the agent learns across sessions. All memory lives in Openclaw's native primitives — no external service required.

First-time setup per agent

If .reflexio/.setup_complete_<agentId> does NOT exist (where <agentId> is your current agent id), perform this one-time check. The setup step runs probing commands via exec and asks for approval before making changes.

Steps:

Probe current config:
- openclaw config get plugins.entries.active-memory.config.agents
- openclaw config get agents.defaults.memorySearch.extraPaths
- openclaw memory status --deep
If active-memory is not targeting this agent: Ask user: "To auto-inject relevant facts into each turn, I can enable active-memory for this agent. OK if I run openclaw config set plugins.entries.active-memory.config.agents '[\"<agentId>\"]' --strict-json?" On approval, run the command.
If .reflexio/ is not registered as an extraPath: Ask user: "I need to register .reflexio/ as a memory path. OK if I run openclaw config set agents.defaults.memorySearch.extraPaths '[\".reflexio/\"]' --strict-json?" On approval, run the command.
If no embedding provider is configured (FTS-only mode): Tell user: "Vector search requires an embedding API key (OpenAI, Gemini, Voyage, or Mistral). The plugin works without one but retrieval quality drops. Would you like guidance on adding one?" If yes, guide them through openclaw config set or openclaw configure.
On each decline, note the degraded mode but do not block:
- No active-memory → you must run openclaw memory search via exec at turn start (see "Retrieval" section below).
- No extraPath → WARN the user the plugin cannot function without this step.
- No embedding → continue with FTS-only.
When all checks resolved (approved or accepted with warning): create the marker:
```
mkdir -p .reflexio
touch .reflexio/.setup_complete_<agentId>
```

Read the full file on GitHub · 195 lines

Files

What ships with it

22 files 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.

Changes

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.

1mo ago First seen · 195 lines · 102 tokens per session scan A 43a83d79a3f9

Subscribe to this mod's changes

reflexio-embedded is a skill published in the GitHub repository ReflexioAI/reflexio (379 stars, last pushed today), licensed Apache-2.0. It adds 102 tokens to every session and 2,269 once invoked, about $0.0004 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.

Memory and context self-improvement self-improving-agent self-improving-ai self-learning

claude-reflect

Self-learning system that captures corrections during sessions and reminds users to run /reflect to update CLAUDE.md. Use when discussing learnings, corrections, or when the user mentions remembering something for future sessions.

BayramAnnakov/claude-reflect · 46 tokens

update-pr

Update an existing pull request with new changes. Use when the user wants to update a PR, push follow-up changes to a PR, refresh a PR description, or sync a PR with latest commits. Triggers on: update pr, update-pr, update the pr, push to pr, refresh pr, sync pr, update pull request.

ReflexioAI/claude-smart · 71 tokens

create-pr

Create high-quality pull requests via gh pr create. Use when the user wants to create a PR, submit a PR, open a pull request, submit for review, or push changes for review. Triggers on: create a pr, create-pr, submit a pr, open a pull request, submit for review, make a pr, gh pr create.

ReflexioAI/claude-smart · 74 tokens

claude-smart

Codex-only — use when the user asks to run claude-smart commands in Codex, including claude-smart show, learn, restart, dashboard, clear-all, or slash-like requests such as /claude-smart:learn. In Claude Code the native plugin slash commands handle these; do not invoke this skill there.

ReflexioAI/claude-smart · 69 tokens

user-general-facts

Capture and organize general facts about the user by topic.

memodb-io/Acontext · 15 tokens

daily-logs

Track daily activity logs and summaries for the user. TRIGGER BY: read/edit user memory.

memodb-io/Acontext · 22 tokens