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 caioribeiroclw-pixel/pluribus --skill context-receiptsgit clone --depth 1 https://github.com/caioribeiroclw-pixel/pluribusWrote 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/caioribeiroclw-pixel/pluribus/context-receipts)<a href="https://agentmods.dev/skills/caioribeiroclw-pixel/pluribus/context-receipts"><img src="https://agentmods.dev/badge/skills/caioribeiroclw-pixel/pluribus/context-receipts/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/caioribeiroclw-pixel/pluribus/context-receipts"><img src="https://agentmods.dev/badge/skills/caioribeiroclw-pixel/pluribus/context-receipts.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 | $0.00033 | $0.02626 |
| Opus 5 | $0.00016 | $0.01313 |
| Sonnet 5 | $0.00007 | $0.00525 |
| Haiku 4.5 | $0.00003 | $0.00263 |
Grade A, and why
context-receipts 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 10d 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 — 207 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Context Receipts
Use this skill when an agent workflow claims to save context by selecting, deferring, hydrating, summarizing, compacting, pruning, delegating, attributing usage, or isolating context.
The job is not to log the private content. The job is to emit a small receipt that lets a reviewer answer:
what crossed the context boundary, what stayed out, and what audit gap remains?
Privacy defaults
Never include raw prompts, raw tool schemas, raw tool arguments, raw tool results, raw skill bodies, memory bodies, secrets, customer names, or full transcripts in the receipt.
Prefer:
- stable ids or hashed ids;
- counts and token/line buckets;
- categorical reasons;
- explicit booleans for raw content copied/not copied;
- before/after context budget buckets;
- an
audit_gapfield when the receipt proves routing but not semantic correctness.
60-second Tool Search smoke
For MCP Tool Search, lazy tool loading, or progressive disclosure, emit enough evidence to answer these seven checks:
- Index-only startup: did the session load a compact tool/server index instead of all full schemas?
- Search/routing: what hashed query/category or routing reason selected candidate tools?
- Hydration: which full tool definition was loaded, why, and how many definitions stayed suppressed?
- Call: which server/tool id was invoked, with argument/result redaction status and success/error status?
- Boundary: if a manager subagent or child agent was used, did raw child output return to the parent?
- Budget: what were the startup and post-hydration context-token buckets?
- Audit gap: what is not proven, such as whether the selected tool was semantically optimal?
Minimal JSONL event names:
{"event":"mcp.tool_index.loaded","loaded_server_count":12,"loaded_tool_index_count":84,"full_schema_count":0,"suppressed_tool_count":84,"raw_schema_copied":false,"startup_token_bucket":"lt_1k"}
{"event":"mcp.tool_search.performed","query_hash":"sha256:...","query_category":"repo_search","candidate_tool_count":5,"selected_tool_id":"github.search_code","raw_query_copied":false}
{"event":"mcp.tool_definition.loaded","tool_id":"github.search_code","hydrate_reason":"selected_after_tool_search","suppressed_tool_count":83,"definition_token_bucket":"1k_2k","raw_schema_copied":false}
{"event":"mcp.tool_call.completed","tool_id":"github.search_code","args_hash":"sha256:...","result_token_bucket":"2k_4k","raw_args_copied":false,"raw_result_copied":false,"status":"ok"}
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.
- 10d ago First seen · 207 lines · 33 tokens per session scan A 6d268a5ceac4
context-receipts is a skill published in the GitHub repository caioribeiroclw-pixel/pluribus (13 stars, last pushed 1mo ago), licensed MIT. It adds 33 tokens to every session and 2,626 once invoked, about $0.0002 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 2026-08-30.
Other skills, from other repositories
layered-context
L0/L1/L2 three-layer context loading protocol — reduces token consumption during /resume boot.
semantic-search
Zero-dependency TF-IDF search across MUSE memory, roles, and skills. Use when user wants to find information across their project context.
memory-audit
Audit MEMORY.md against the memory discipline — oversized sections, settled multi-session patterns that belong in knowledge/concepts/, stacked chronicle blocks, stale entries. Produces a move plan as a table for approval, then executes the approved moves atomically. Use when the SessionStart hook reports a tripped…
close-session
An end-of-session workflow that reviews new lessons, asks before promoting repeated patterns, refreshes memory files, and writes a handoff.
strategic-compact
Suggests manual context compaction at logical intervals to preserve context through task phases rather than arbitrary auto-compaction. Supports focus-aware compaction for targeted context preservation.
aictx
Use this skill when working in a repository that uses AICTX for repo-local operational continuity. Prefer AICTX MCP tools when available, fall back to CLI commands, resume before substantial work, and finalize factual continuity after work.