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 everest-an/Awareness-Market --skill treg-skillgit clone --depth 1 https://github.com/everest-an/Awareness-MarketWrote 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/everest-an/awareness-market/treg-skill)<a href="https://agentmods.dev/skills/everest-an/awareness-market/treg-skill"><img src="https://agentmods.dev/badge/skills/everest-an/awareness-market/treg-skill/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/everest-an/awareness-market/treg-skill"><img src="https://agentmods.dev/badge/skills/everest-an/awareness-market/treg-skill.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 | $0.00038 | $0.00392 |
| Opus 5.5 | $0.00015 | $0.00157 |
| Sonnet 5.5 | $0.00008 | $0.00078 |
| Haiku 4.5 | $0.00004 | $0.00039 |
Grade A, and why
awareness-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 5d 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.
What it actually says
Awareness Memory
Awareness gives your agent persistent memory: past decisions, tasks, and codebase context are stored locally as Markdown and recalled in later sessions with zero LLM calls at retrieval (96% R@5 on LongMemEval).
When to use
- The user refers to something from a previous session ("we decided", "last time", "continue where we left off").
- You finish a meaningful action (decision, fix, discovery) and should record it.
- The user asks for evidence from the literature, or to find a counterparty (supplier/buyer/partner).
Public endpoints (through treg)
- Deal Board (no key):
GET /api/v1/public/dealswithquery,direction(supply|demand),category,region,limit. - Knowledge search (no key, preview mode):
POST /api/v1/public/retrievewith a research query.
Example (via the treg CLI):
treg call awareness api/v1/public/deals --query limit=5 --query direction=demand
Report results faithfully: Awareness does not vouch for a publisher; show the evidence fields, never call a listing "verified".
Private memory (requires an API key or local daemon)
- Local-first (free, offline):
npx @awareness.market/setup - Remote MCP:
https://awareness.market/mcp(Streamable HTTP; public read tools need no auth) - Core tools:
awareness_init(start of session),awareness_recall(search),awareness_record(save),awareness_lookup(exact lookups)
What ships with it
1 file 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.
- 5d ago First seen · 34 lines · 38 tokens per session scan A eed1345df298
awareness-memory is a skill published in the GitHub repository everest-an/Awareness-Market (12 stars, last pushed 5d ago), licensed MIT. It adds 38 tokens to every session and 392 once invoked, about $0.0002 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 2026-11-02.
awareness-memory compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| awareness-memoryeverest-an/Awareness-Market | Skill | 12 | 5d ago | MIT | A | 38 | Claude Code, Codex |
| plur-create-engramsplur-ai/plur | Skill | 312 | yesterday | Apache-2.0 | A | 66 | Claude Code, Codex |
| plur-memoryplur-ai/plur | Skill | 312 | yesterday | Apache-2.0 | A | 31 | Claude Code |
| Effective Memoryplur-ai/plur | Skill | 312 | yesterday | Apache-2.0 | A | 43 | Claude Code |
| plur-session-endplur-ai/plur | Skill | 312 | yesterday | Apache-2.0 | A | 35 | Claude Code |
| plur-memoryplur-ai/plur | Skill | 312 | yesterday | Apache-2.0 | A | 41 | Claude Code |
| honcho-integrationplastic-labs/honcho | Skill | 8.0k | yesterday | AGPL-3.0 | A | 40 | Claude Code |