Skill Scanner
getsentry/skills
Scan agent skills for security issues. An agent skill from getsentry/skills.
Consolidate brain memory and mine user sessions since the last consolidation checkpoint (sleep-cycle style).
Install Memory Consolidate
$ npx skills add mikeyobrien/rho --skill memory-consolidate -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install mikeyobrien/rho memory-consolidate --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/mikeyobrien/rho.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/memory-consolidate .claude/skills/memory-consolidate && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "memory-consolidate" agent skill from https://github.com/mikeyobrien/rho/tree/main/skills/memory-consolidate into .claude/skills/memory-consolidate/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "memory-consolidate", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/mikeyobrien/rho/tree/main/skills/memory-consolidateType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add mikeyobrien/rho --skill memory-consolidate -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install mikeyobrien/rho memory-consolidate --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mikeyobrien/rho.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/memory-consolidate .agents/skills/memory-consolidate && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "memory-consolidate" agent skill from https://github.com/mikeyobrien/rho/tree/main/skills/memory-consolidate into .agents/skills/memory-consolidate/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "memory-consolidate", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add mikeyobrien/rho --skill memory-consolidate -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install mikeyobrien/rho memory-consolidate --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mikeyobrien/rho.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/memory-consolidate .cursor/skills/memory-consolidate && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "memory-consolidate" agent skill from https://github.com/mikeyobrien/rho/tree/main/skills/memory-consolidate into .cursor/skills/memory-consolidate/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "memory-consolidate", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/mikeyobrien/rho.git --path skills/memory-consolidate--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add mikeyobrien/rho --skill memory-consolidate -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install mikeyobrien/rho memory-consolidate --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mikeyobrien/rho.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/memory-consolidate .gemini/skills/memory-consolidate && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "memory-consolidate" agent skill from https://github.com/mikeyobrien/rho/tree/main/skills/memory-consolidate into .gemini/skills/memory-consolidate/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "memory-consolidate", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install mikeyobrien/rho memory-consolidateInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add mikeyobrien/rho --skill memory-consolidate -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/mikeyobrien/rho.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/memory-consolidate .github/skills/memory-consolidate && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "memory-consolidate" agent skill from https://github.com/mikeyobrien/rho/tree/main/skills/memory-consolidate into .github/skills/memory-consolidate/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "memory-consolidate", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add mikeyobrien/rho --skill memory-consolidate -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install mikeyobrien/rho memory-consolidate --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mikeyobrien/rho.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/memory-consolidate .opencode/skills/memory-consolidate && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "memory-consolidate" agent skill from https://github.com/mikeyobrien/rho/tree/main/skills/memory-consolidate into .opencode/skills/memory-consolidate/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "memory-consolidate", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
memory-consolidate- GitHub stars
- 372
- Token cost
- ~1.3k tokens
- SKILL.md length
- 603 words
- Files
- 1
- Skills in repo
- 35
- Repo updated
- First seen
- Licence
- MIT
At a glance
Consolidate brain memory and mine user sessions since the last consolidation checkpoint (sleep-cycle style).
- Works in 8 steps: Inventory → Resolve mining window → Session mining (user messages only) → …
- Reduce noisy prompt injection while preserving durable high-value memories
- SKILL.md covers Overview, Importance levels (retention), Parameters and Steps
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Memory Consolidate is an agent skill from mikeyobrien/rho. Consolidate brain memory and mine user sessions since the last consolidation checkpoint (sleep-cycle style). Use to reduce noisy prompt injection while preserving durable high-value memories.
Its SKILL.md is about 1.3k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Security, covering Prompt injection and agent security. The repository describes itself as: An AI agent that stays running, remembers across sessions, and checks in on its own. macOS, Linux, Android. Built on Pi. The licence is MIT.
When your agent uses it
- Reduce noisy prompt injection while preserving durable high-value memories
- Tasks that involve Prompt injection and agent security
Example prompts
- “/memory-consolidate”
Workflow steps
8 steps, taken from the step headings in SKILL.md.
What it can do on your machine
Read from SKILL.md and the folder at commit 073a3ee. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Memory Consolidate loads about 1.3k tokens when it runs. Until then it costs about 53 tokens; SKILL.md has 603 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
The full file from mikeyobrien/rho at commit 073a3ee, republished under its MIT licence (© mikeyobrien). 603 words, ~1,315 tokens.
Download SKILL.mdSave it as
.claude/skills/memory-consolidate/SKILL.md (or your agent's skills folder).- name
- memory-consolidate
- description
- Consolidate brain memory and mine user sessions since the last consolidation checkpoint (sleep-cycle style). Use to reduce noisy prompt injection while preserving durable high-value memories.
- kind
- sop
Memory Consolidate
Overview
Run a "brain sleep cycle":
- Consolidate existing memory (dedupe, decay, merge, vault relocation)
- Mine user sessions since the last consolidation checkpoint
- Persist a new checkpoint only after a successful run
Use the brain tool for brain changes and the vault tool for reference relocation. Never edit brain.jsonl directly.
Importance levels (retention)
Use these symbols while triaging entries:
- 🔴 High importance — durable, high-leverage, should remain in brain
- 🟡 Medium importance — useful but optional; review for merge/tightening
- 🟢 Low importance — stale/noisy/duplicative; prune or relocate
For memory retention, high importance means keep longer, not delete.
Parameters
- brain_path (default:
~/.rho/brain/brain.jsonl) - mine_sessions (default:
true) - since (default:
last_consolidation) —last_consolidation | <ISO timestamp> | <duration> - days_fallback (default:
1) — only used when no checkpoint exists - session_dir (default:
~/.pi/agent/sessions/) - max_new_entries (default:
10) - confidence_threshold (default:
high) —high | medium - checkpoint_key (default:
memory_consolidate.last_consolidated_at)
Steps
1) Inventory
List memory by type and count totals.
You MUST report counts for:
- learnings, preferences, behaviors, identity, user, context, tasks, reminders
- total active entries
2) Resolve mining window
Determine the lower bound timestamp:
- If
sinceis explicit timestamp/duration, use it. - If
since=last_consolidation, read checkpoint fromcheckpoint_key. - If no checkpoint exists, use
days_fallback.
Constraints:
- You MUST mine only sessions in the resolved window.
- You MUST include the resolved window in the final report.
3) Session mining (user messages only)
Extract durable learnings/preferences from user messages in matched sessions.
Confidence policy:
- High: explicit user statements/corrections/preferences → auto-add
- Medium: strong multi-session inference → add only if threshold is
medium - Low: ambiguous/one-off/hypothetical → skip
Constraints:
- You MUST NOT exceed
max_new_entries. - You MUST dedupe against existing memory before add.
- You MUST prefer high-confidence extractions first.
- You MUST include session id in
sourcewhen available (session:<id>).
4) Decay stale learnings
Run brain action=decay.
Constraints:
- You MUST report decayed count.
Show full SKILL.md (316 more words)Show less
5) Consolidate existing entries
Identify duplicates/superseded/stale entries and merge candidates.
Apply the importance lens:
- 🔴 Keep durable, high-value operational guidance
- 🟡 Merge or tighten wording
- 🟢 Remove if stale/noisy/redundant
Apply the 30-day test to every entry: "Would this change a decision I make 30 days from now?" If no, it's noise — remove it.
Auto-remove categories (these should never have been stored):
- Version numbers or update confirmations ("updated X to v1.2.3")
- Heartbeat or check-in status reports ("Heartbeat Feb 19: all clear")
- Benchmark scores or run results ("scored 42/89 = 47.2%")
- Bug sweep summaries without a generalizable root cause ("reviewed X, no bugs found")
- UI/feature implementation details ("button text changed to X", "layout uses 3 columns")
- Task completion status ("task X is complete", "run Y failed")
- Project-specific transient state that won't inform future decisions
- Duplicates — keep the best-worded version, remove the rest
Constraints:
- You MUST NOT remove preferences unless contradicted/superseded.
- You MUST NOT invent new facts while merging.
- When uncertain, keep.
- You SHOULD be aggressive about pruning — a smaller, high-signal brain is better than a large, noisy one.
6) Vault relocation for reference-heavy entries
"Reference-heavy" means useful knowledge that does not need to be injected every turn and can be searched ad hoc.
Typical candidates:
- long feature histories / changelog-style learnings
- architecture rationale requiring structure
- multi-step runbooks / deep troubleshooting notes
- linked research/reference material
Constraints:
- You MUST write vault notes before removing corresponding brain entries.
- Each note MUST include
## Connectionswith[[wikilinks]]. - Leave a short pointer memory when useful (e.g., "See [[note-slug]]").
7) Persist checkpoint (success only)
At end of successful consolidation, set/update checkpoint timestamp (now, UTC ISO-8601).
Constraints:
- You MUST update checkpoint only after successful completion.
- You MUST NOT advance checkpoint on partial/failed runs.
8) Report
You MUST report:
- counts before/after by type + total
- mining window and sessions analyzed
- added/skipped mined entries (with skip reasons)
- decayed, removed, merged, relocated counts
- vault notes created/updated (slugs)
- checkpoint old → new value
- up to 10 significant changes
© mikeyobrien, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
Just SKILL.md in skills/memory-consolidate of mikeyobrien/rho.
Open the folder on GitHubat commit 073a3ee
Compare with similar skills
Memory Consolidate next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Memory Consolidate this skillmikeyobrien/rho | 372 | — | ~1.3k | Automated safety check: Pass | MIT | |
| Skill Scannergetsentry/skills | 1k | 4 repos | ~2.5k | Automated safety check: Warn | Apache-2.0 | |
| Forensifyalexgreensh/repo-forensics | 188 | — | ~2.5k | Automated safety check: Notes | Custom licence | |
| Hol Guardhashgraph-online/hol-guard | 827 | — | ~542 | Automated safety check: Pass | Apache-2.0 | |
| Kesekit Checkcdppcorp/KESE-KIT | 361 | — | ~1.3k | Automated safety check: Pass | MIT | |
| Setuphashgraph-online/hol-guard | 827 | — | ~443 | Automated safety check: Pass | Apache-2.0 |
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Questions about Memory Consolidate
What does Memory Consolidate do?
Consolidate brain memory and mine user sessions since the last consolidation checkpoint (sleep-cycle style). Memory Consolidate is an agent skill from mikeyobrien/rho. Consolidate brain memory and mine user sessions since the last consolidation checkpoint (sleep-cycle style).
When should I use Memory Consolidate?
Memory Consolidate fits situations like: reduce noisy prompt injection while preserving durable high-value memories; tasks that involve Prompt injection and agent security.
How do I install Memory Consolidate in Claude Code?
Run `npx skills add mikeyobrien/rho --skill memory-consolidate -a claude-code`. Or copy the skill folder (skills/memory-consolidate in mikeyobrien/rho) into .claude/skills/memory-consolidate in your project. Claude Code loads it when a task matches its description.
How do I install Memory Consolidate in Codex?
Run `npx skills add mikeyobrien/rho --skill memory-consolidate -a codex`. Or copy the skill folder (skills/memory-consolidate in mikeyobrien/rho) into .agents/skills/memory-consolidate in your project. Codex loads it when a task matches its description.
Can I use Memory Consolidate in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add mikeyobrien/rho --skill memory-consolidate -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/memory-consolidate, .gemini/skills/memory-consolidate, .github/skills/memory-consolidate and .opencode/skills/memory-consolidate in your project.
What does Memory Consolidate need to run?
SKILL.md names no scripts, command-line tools or credentials: Memory Consolidate is instructions for the agent only.
Does Memory Consolidate access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Memory Consolidate safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Memory Consolidate use?
Memory Consolidate is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Memory Consolidate use?
About 1.3k tokens (SKILL.md is roughly 5.3k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Memory Consolidate?
Skills that share tags, products or a category with Memory Consolidate: Skill Scanner (getsentry/skills, 1k stars), Forensify (alexgreensh/repo-forensics, 188 stars), Hol Guard (hashgraph-online/hol-guard, 827 stars) and Kesekit Check (cdppcorp/KESE-KIT, 361 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Memory Consolidate?
mikeyobrien (a GitHub user) maintains it in mikeyobrien/rho, which has 372 GitHub stars. The repository holds 35 skills in this directory. The repository was last updated on October 1, 2026.
Source: mikeyobrien/rho on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.