missing_docs_inventory

Generated by scripts/inventorymissingdocs.py. Do not hand-edit; run the script after touching crates to refresh the inventory.

Agent

Install

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.

agentmods
npx agentmods add agents/hyperledger-iroha/iroha/missing_docs_inventory
Clone the repo
git clone --depth 1 https://github.com/hyperledger-iroha/iroha
Per session 0 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 98 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin unknown No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00000 $0.00098
Opus 5 $0.00000 $0.00049
Sonnet 5 $0.00000 $0.00020
Haiku 4.5 $0.00000 $0.00010

Measured today against content hash 25c0d05235e0, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

missing_docs_inventory 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 today.

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.

docs/source/agents/missing_docs_inventory.md · 13 lines

What it actually says

Missing Docs Inventory

Generated by scripts/inventory_missing_docs.py. Do not hand-edit; run the script after touching crates to refresh the inventory.

  • Crates scanned: 98
  • Crates needing attention: 1
  • Missing crate-level docs: 1
  • allow(missing_docs) occurrences: 0

Entries

  • irohad (crates/irohad): missing crate docs; 0 allow(missing_docs) site(s)
Changes

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.

  1. today First seen · 13 lines · 0 tokens per session scan A 25c0d05235e0

Subscribe to this mod's changes

missing_docs_inventory is an agent published in the GitHub repository hyperledger-iroha/iroha (488 stars, last pushed today), licensed Apache-2.0. It costs nothing until one of its globs matches a file; then it loads 98 tokens. 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 2026-09-01.

Related

Other agents, from other repositories

agent-request-queue

一次 Agent 运行可能包含多次模型调用、知识库检索、工具执行和文件操作。为了避免同一对话同时修改同一份上下文,Yuxi 把“收到请求”和“开始运行”分成两个阶段,并为每个线程维护 FIFO 队列。.

xerrors/Yuxi · 0 tokens

frontend-engineer

Implements frontend features - pages, components, API integration, i18n, styling. Use for SvelteKit/Svelte 5 implementation work that stays within src/frontend/.

fpindej/netrock · 39 tokens

review-specialist

Use for isolated code review passes focused on bugs, regressions, contract drift, retrieval integrity, validation gaps, and risky generated-file edits.

hoangsonww/AI-RAG-Assistant-Chatbot · 32 tokens

chainaware-token-launch-auditor

Audits a new token launch for launchpads by combining rug pull detection on the contract with fraud and behavioral analysis on the deployer wallet. Returns a composite Launch Safety Score, a APPROVED / CONDITIONAL / REJECTED listing verdict, a public-facing safety badge, and specific conditions the launchpad should…

ChainAware/behavioral-prediction-mcp · 247 tokens

architect

Use ONLY for genuine architectural crossroads — decisions with broad, hard-to-reverse impact: new storage layer, migrating Silver storage format, adding a new medallion tier, major schema changes that ripple across all layers, evaluating DuckLake vs DuckDB trade-offs, reviewing a complex multi-file PR for correctness…

edwinweber/dbt_duckdb_demo_public · 78 tokens

1-business-analyst

You are an expert business analyst for Aam Digital.

Aam-Digital/ndb-core · 0 tokens