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 auxten/clickmem --skill clickmem-researchgit clone --depth 1 https://github.com/auxten/clickmemWrote 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/auxten/clickmem/clickmem-research)<a href="https://agentmods.dev/skills/auxten/clickmem/clickmem-research"><img src="https://agentmods.dev/badge/skills/auxten/clickmem/clickmem-research/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/auxten/clickmem/clickmem-research"><img src="https://agentmods.dev/badge/skills/auxten/clickmem/clickmem-research.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 | $0.00071 | $0.01257 |
| Opus 5.5 | $0.00028 | $0.00503 |
| Sonnet 5.5 | $0.00014 | $0.00251 |
| Haiku 4.5 | $0.00007 | $0.00126 |
Grade A, and why
clickmem-research scanned grade A with 1 finding 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.
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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -s http://127.0.0.1:9527/v1/health | jq How it starts
The opening of the file, as written. The whole thing — 128 lines — stays where its author put it; the contents beside it link to each section on GitHub.
ClickMem — Memory Audit
A lightweight quality pass over the ClickMem store. The server runs zero LLM, so this skill uses the agent's current session model to score recall behaviour and propose fixes. Everything reads through the public REST + MCP surface; no direct chDB access.
Run the steps in order. Stop early if a step fails critically (server unreachable, no data).
Step 1: Health check
clickmem service status
curl -s http://127.0.0.1:9527/v1/health | jq
curl -s http://127.0.0.1:9527/v1/stats/overview | jq
Confirm:
- Server is reachable on port 9527.
- Memory counts are non-zero; otherwise there's nothing to audit.
- Active backend (
localchDB vsclickhouse) matches what the user expects.
Step 2: Sample recent recall traces
The server logs every recall to the events table. Pull the last N traces and the per-candidate scoring:
clickmem recall-trace --sample 20 --since 7d
# or
curl -s -X POST http://127.0.0.1:9527/v1/recall/trace \
-H 'Content-Type: application/json' \
-d '{"sample": 20, "since": "7d"}' | jq
Each trace returns the query, the top hits, and the score breakdown (cosine × project multiplier × privacy filter × pinned boost). Look for:
- Low top-1 cosine (< 0.5) — the agent asked something with no anchor in the store.
- Project mismatches — top hits came from
other-project(×0.0) and got filtered out. - Stale top hits — the top memory is
status='contracted'or hasn't been updated in months and yet is winning.
Step 3: Surface unresolved conflicts
clickmem conflicts --json
# or
curl -s http://127.0.0.1:9527/v1/conflicts | jq
For each pair, fetch both memories:
clickmem show <id_a> --history
clickmem show <id_b> --history
Decide for each pair:
- One supersedes the other → propose
clickmem resolve <loser> --revise <winner>. - Both are correct under different scopes (different projects, privacy levels) → propose
clickmem resolve <a> --allow <b>. - Neither is right anymore → propose
clickmem forgeton both with a reason.
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 · 128 lines · 71 tokens per session scan A c45f903d09ca
clickmem-research is a skill published in the GitHub repository auxten/clickmem (66 stars, last pushed 4mo ago), licensed MIT. It adds 71 tokens to every session and 1,257 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other skills, from other repositories
knowledge-ingest
Ingest documents, articles, conversations, or supplied text into Knowledge with retained originals, sourced claims, entity updates, timelines, and cross-links; also learn durable lessons from a set of conversations, transcripts, or past sessions (/learn), including the Learn from conversations and Learn from Memory…
forget
Remove a personal fact, preference, relationship detail, topic, or prior event from Muse's active memory and stop existing copies or automations from bringing it back. Use for explicit requests such as 'forget that', 'don't remember this about me', or 'remove that from your memory'. Do not use when 'forget it' merely…
mem0-oss-to-platform
Plan, then execute, a migration of a project from the mem0 open-source / self-hosted SDK (local Memory class) to the mem0 Platform / hosted SDK (MemoryClient). TRIGGER when: the developer wants to move, switch, or migrate mem0 off OSS/self-hosted to the hosted API, e.g. "migrate my mem0 setup to the platform", "switch…
Cortex
LifeOS memory, prior-session recall, and learning capture. USE WHEN capture this learning, document this learning, what did we learn recently, recent learnings, cortex, knowledge, knowledge base, search knowledge, what do we know about, archive, harvest, knowledge status, develop note, add to knowledge, add a people…
memory
Use when the user asks to remember, recall, forget, update, search, or inspect durable OpenSquilla memory, including profile facts in USER.md and long-term notes in MEMORY.md or memory//.md.
ha-data-stores
Map of Hope Agent's local data stores and safe read-only query workflow. Use when the user asks where Hope Agent stores data, wants to inspect sessions/messages/memory/logs/background jobs/knowledge indexes/settings, asks the model to query local app data, or debugging requires checking persisted state. Trigger…