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 agentmods add skills/backchainai/backchain-plugins/consolidatenpx skills add backchainai/backchain-plugins --skill consolidategit clone --depth 1 https://github.com/backchainai/backchain-pluginsWrote 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/backchainai/backchain-plugins/consolidate)<a href="https://agentmods.dev/skills/backchainai/backchain-plugins/consolidate"><img src="https://agentmods.dev/badge/skills/backchainai/backchain-plugins/consolidate.svg" alt="Measured on agentmods" 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 | $0.00107 | $0.02018 |
| Opus 5 | $0.00053 | $0.01009 |
| Sonnet 5 | $0.00021 | $0.00404 |
| Haiku 4.5 | $0.00011 | $0.00202 |
Grade A, and why
consolidate 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 4d 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 — 158 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Consolidate
Audit knowledge directories and Claude Code auto memory for stale, misplaced, or duplicated content. Produce an editable plan file the user reviews, then execute approved actions. Designed to complement, not replace, native auto-memory: this skill never modifies MEMORY.md directly and never deletes auto-memory entries — it focuses on graduation (promoting stable entries to permanent rules) and on knowledge directories outside auto-memory's scope.
Relationship with auto memory
Native Claude Code auto memory writes implicit learnings to ~/.claude/projects/<project>/memory/. This skill complements it:
| Concern | Native auto memory | consolidate (this skill) |
|---|---|---|
| Capture implicit learnings | Yes | No — defer to native |
Maintain MEMORY.md index |
Yes (manual edits via /memory) |
No — never modify directly |
| Graduate feedback → rules / CLAUDE.md | No | Yes — primary responsibility |
| Audit project knowledge directories | No | Yes — user-declared scan roots |
| Manage staging-directory lifecycle | No | Yes — age-based classification |
| Detect stray operational knowledge | No | Yes |
Do not:
- Recommend
DELETEorARCHIVEfor files inside~/.claude/projects/<project>/memory/. Use theRULESorCLAUDEMDactions to graduate stable entries; deletion of the source file then happens as part of graduation, not as cleanup. - Modify
MEMORY.md. - Touch any lock files in the auto-memory directory.
Scan roots
Before scanning, the skill needs a list of knowledge directories to inspect. If the user has not declared scan roots in their project's CLAUDE.md or in conversation, ask them. Sensible defaults to suggest:
.memory/
docs/
outputs/ # or whatever the project uses for staging
archive/ # or whatever the project uses for archive
~/.claude/projects/<project>/memory/
What ships with it
3 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.
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.
- 4d ago First seen · 158 lines · 107 tokens per session scan A c52bf09c6f5e
consolidate is a skill published in the GitHub repository backchainai/backchain-plugins (4 stars, last pushed 29d ago), licensed Apache-2.0. It adds 107 tokens to every session and 2,018 once invoked, about $0.0005 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
memory-to-skill
Turn workflows from your MemSearch memory into reusable skills. Use when the user asks to make/create/extract/distill a skill from what they just did or from past work, review skill candidates, install a distilled skill, or 'turn this into a skill'. Manages MemSearch procedural-memory candidates under…
kayba-ace
This skill ships learnfromtraces.py, a script that reads OpenClaw session transcripts, feeds them through the ACE learning pipeline, and writes an updated skillbook to disk.
memory-recall
Search and recall relevant memories from past sessions via memsearch. Use when the user's question could benefit from historical context, past decisions, debugging notes, previous conversations, or project knowledge -- especially questions like 'what did I decide about X', 'why did we do Y', or 'have I seen this…
mnemon
Persistent memory CLI for LLM agents. Store facts, recall past knowledge, link related memories, manage lifecycle.
mnemon
Persistent memory CLI for LLM agents. Store facts, recall past knowledge, link related memories, manage lifecycle.
mnemon
Persistent memory CLI for LLM agents. Store facts, recall past knowledge, link related memories, manage lifecycle.