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 XZXZZX-Ai/bilibili-mcp --skill codexgit clone --depth 1 https://github.com/XZXZZX-Ai/bilibili-mcpWrote 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/xzxzzx-ai/bilibili-mcp/codex)<a href="https://agentmods.dev/skills/xzxzzx-ai/bilibili-mcp/codex"><img src="https://agentmods.dev/badge/skills/xzxzzx-ai/bilibili-mcp/codex/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/xzxzzx-ai/bilibili-mcp/codex"><img src="https://agentmods.dev/badge/skills/xzxzzx-ai/bilibili-mcp/codex.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 | $0.00023 | $0.00300 |
| Opus 5.5 | $0.00009 | $0.00120 |
| Sonnet 5.5 | $0.00005 | $0.00060 |
| Haiku 4.5 | $0.00002 | $0.00030 |
Grade A, and why
bilibili-mcp-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 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.
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.
This is a copy
95% identical to bilibili-mcp-memory — 2 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
What it actually says
Bilibili MCP typed memory router
Host package: codex Interface version: 1.0.0
- Resolve the active bilibili-mcp worktree before every operation.
- Project only a harness.memory-evidence/v1 envelope whose task is already accepted and committed.
- Before source-task acceptance, use
python -m harness memory digest <envelope.json> --cwd <worktree>and record that exact digest as passing verification evidence. - Start a Direct memory-only task whose active writer owns both memory JSON paths, then use
python -m harness memory project <envelope.json> --cwd <worktree> --task <memory-task-id>; do not hand-edit the typed store or current projection. - At session startup use
python -m harness memory startup --cwd <worktree>and consume only its bounded records. - Treat proposed and deferred records as non-authoritative, and never route commands, output, prompts, Cookies, tokens, credentials, environment dumps, or secrets into memory.
- The projector may write only docs/agent-memory/typed-memory.json, docs/agent-memory/current-memory.json, and ignored metadata-only audit state.
- Do not use memory processing to modify Skills, Agents, MCP, product or Harness CLI behavior, Hooks, execution Loops, repository rules, or harness-eval.md.
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.
- 1mo ago First seen · 19 lines · 23 tokens per session scan A 1612bfc48f41
bilibili-mcp-memory is a skill published in the GitHub repository XZXZZX-Ai/bilibili-mcp (41 stars, last pushed yesterday), licensed Apache-2.0. It adds 23 tokens to every session and 300 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 95% identical to bilibili-mcp-memory, differing in 2 lines, and is treated as a copy.
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