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 furkangonel/cowrangler --skill consolidate-memorygit clone --depth 1 https://github.com/furkangonel/cowranglerWrote 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/furkangonel/cowrangler/consolidate-memory)<a href="https://agentmods.dev/skills/furkangonel/cowrangler/consolidate-memory"><img src="https://agentmods.dev/badge/skills/furkangonel/cowrangler/consolidate-memory/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/furkangonel/cowrangler/consolidate-memory"><img src="https://agentmods.dev/badge/skills/furkangonel/cowrangler/consolidate-memory.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00061 | $0.00553 |
| Opus 5 | $0.00030 | $0.00277 |
| Sonnet 5 | $0.00012 | $0.00111 |
| Haiku 4.5 | $0.00006 | $0.00055 |
Grade A, and why
consolidate-memory 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 9d 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 — 54 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Memory Consolidation
You're doing a reflective pass over what you've learned about this user and their work. The goal: a future session should be able to orient quickly — who they work with, what they're focused on, how they like things done — without re-asking.
Your system prompt's auto-memory section defines the directory, file format, and memory types. Follow it.
Phase 1 — Take stock
- List the memory directory and read the index (
MEMORY.md) - Skim each topic file. Note which ones overlap, which look stale, which are thin.
Phase 2 — Consolidate
Separate the durable from the dated. Preferences, working style, key relationships, and recurring workflows are durable — keep and sharpen them. Specific projects, deadlines, and one-off tasks are dated — if the date has passed or the work is done, retire the file or fold the lasting takeaway (e.g. "user prefers X format for launch docs") into a durable one.
Merge overlaps. If two files describe the same person, project, or preference, combine into one and keep the richer file's path.
Fix time references. Convert "next week", "this quarter", "by Friday" to absolute dates so they stay readable later.
Drop what's easy to re-find. If a memory just restates something you could pull from the user's calendar, docs, or connected tools on demand, cut it. Keep what's hard to re-derive: stated preferences, context behind a decision, who to go to for what.
Phase 3 — Tidy the index
Update MEMORY.md so it stays under 200 lines and ~25KB. One line per entry, under ~150 chars: - [Title](file.md) — one-line hook.
- Remove pointers to retired memories
- Shorten any line carrying detail that belongs in the topic file
- Add anything newly important
Finish with a short summary: how many files you touched and what changed.
Why/Failure Modes
[TODO: Explain the reasoning behind this skill's approach and common failure modes to avoid.]
Standalone vs Supercharged
[TODO: Describe how this skill works on its own vs when combined with other tools/context.]
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.
- 9d ago First seen · 54 lines · 61 tokens per session scan A e813b5b746c0
consolidate-memory is a skill published in the GitHub repository furkangonel/cowrangler (2 stars, last pushed 2d ago), licensed MIT. It adds 61 tokens to every session and 553 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 2026-08-31.
Other skills, from other repositories
claw-memory-management
Workspace memory management guide: memory layers, writing rules, entry format, and maintenance. Use when writing, updating, or maintaining memory files (memory/YYYY-MM-DD.md and MEMORY.md).
recover-context
Extract full context of the last task from the most recent parent session shown in the session lineage. Strategically uses sub-agents to avoid bloating your own context.
sivtr-memory
Retrieve shared local work memory: terminal activity, AI conversation history, prior decisions, validation evidence, debugging trails, recaps, and handoff context. Use before asking the user to repeat local work context.
make-skill
A guided workflow for turning a conversation's solution into a reusable skill for coding agents.
obsidian
Use the official Obsidian CLI (v1.12+) to manage vaults, notes, daily notes, search, tasks, tags, properties, links, templates, sync, publish, and workspaces. Use when the user mentions Obsidian, vaults, notes, or wants to automate note-taking and knowledge base workflows.
doris-debug-resource-isolation
Use for Doris Workload Group / resource tag queue starvation, CPU/memory isolation leaks, and workload policy debugging. Commands: SHOW WORKLOAD GROUPS, EXPLAIN resource.