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 samrusani/AliceMemory --skill alice-explain-provenancegit clone --depth 1 https://github.com/samrusani/AliceMemoryWrote 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/samrusani/alicememory/alice-explain-provenance)<a href="https://agentmods.dev/skills/samrusani/alicememory/alice-explain-provenance"><img src="https://agentmods.dev/badge/skills/samrusani/alicememory/alice-explain-provenance/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/samrusani/alicememory/alice-explain-provenance"><img src="https://agentmods.dev/badge/skills/samrusani/alicememory/alice-explain-provenance.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 | $0.00026 | $0.00370 |
| Opus 5 | $0.00013 | $0.00185 |
| Sonnet 5 | $0.00005 | $0.00074 |
| Haiku 4.5 | $0.00003 | $0.00037 |
Grade A, and why
alice-explain-provenance 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 11d 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
Alice Explain Provenance
Goal
Provide evidence-backed explanations for Alice-based answers.
Trigger Cues
Use this skill when the user asks:
- why are you saying this
- what source supports this
- can you show evidence or provenance
Required MCP Tools
mcp_<alice_server>_alice_context_pack- Optional:
mcp_<alice_server>_alice_recall
<alice_server> is usually alice_core.
Workflow
- Start from
alice_context_packfor a scoped evidence set. - If needed, run a focused
alice_recallquery for missing evidence. - Explain answer claims by citing returned continuity object IDs and provenance fields.
- If provenance is thin, state uncertainty and propose the next validating step.
Tool Call Templates
mcp_alice_core_alice_context_pack({"thread_id":"<uuid>","recent_decisions_limit":5,"recent_changes_limit":5,"open_loops_limit":5})
mcp_alice_core_alice_recall({"thread_id":"<uuid>","query":"<claim>","limit":5})
Output Contract
Always include:
- claim
- supporting object IDs
- provenance summary from returned records
- confidence posture (
high,medium,low) based on evidence quality
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.
- 11d ago First seen · 57 lines · 26 tokens per session scan A b4bcb6fa1860
alice-explain-provenance is a skill published in the GitHub repository samrusani/AliceMemory (3 stars, last pushed 14d ago), licensed MIT. It adds 26 tokens to every session and 370 once invoked, about $0.0001 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.
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