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 Dianel555/DSkills --skill agent-wikigit clone --depth 1 https://github.com/Dianel555/DSkillsWrote 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/dianel555/dskills/agent-wiki)<a href="https://agentmods.dev/skills/dianel555/dskills/agent-wiki"><img src="https://agentmods.dev/badge/skills/dianel555/dskills/agent-wiki/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/dianel555/dskills/agent-wiki"><img src="https://agentmods.dev/badge/skills/dianel555/dskills/agent-wiki.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00089 | $0.07838 |
| Opus 5 | $0.00044 | $0.03919 |
| Sonnet 5 | $0.00018 | $0.01568 |
| Haiku 4.5 | $0.00009 | $0.00784 |
Grade A, and why
agent-wiki 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 2d 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 — 363 lines — stays where its author put it; the contents beside it link to each section on GitHub.
agent-wiki
增量式 Obsidian 笔记仓库 Wiki 生成器，为 LLM 优化的知识库管理工具。
Prerequisites
pip install PyYAML
References (load on demand)
Detailed specs live under references/ in this skill directory — read them only when the task needs them:
| File | Read when |
|---|---|
references/topic-authoring.md |
Authoring/enriching topic pages (type taxonomy, per-type section templates, conflict convention, quality metric detail) |
references/homepage.md |
Working on wiki/index.md (layout templates, managed cards, REST write-through, optional CSS) |
references/site-export.md |
Running/debugging gen-site (design system, page anatomy, determinism guarantees) |
references/index-schema.md |
Consuming/producing index or frontmatter fields (full .wiki-index.json schema, Bases views, capture contract) |
Execution
The skill provides a Python CLI with the following subcommands:
# Initialize wiki structure
python scripts/agent_wiki_cli.py init --vault /path/to/vault
# Scan for changed sources
python scripts/agent_wiki_cli.py scan --vault /path/to/vault
# Plan a batched ingest: split pending sources into rounds (default 20/round)
python scripts/agent_wiki_cli.py plan --batch-size 20 --vault /path/to/vault
# Mark a round complete (verifies every doc in the batch was cache-put)
python scripts/agent_wiki_cli.py batch-done --batch 1 --vault /path/to/vault
# Get cache entry for a source
python scripts/agent_wiki_cli.py cache-get <relative-path> --vault /path/to/vault
# Record ingest result
python scripts/agent_wiki_cli.py cache-put <relative-path> --topics topic1.md,topic2.md --vault /path/to/vault
# Clean up deleted sources
python scripts/agent_wiki_cli.py cleanup --vault /path/to/vault
# Get wiki health status
python scripts/agent_wiki_cli.py status --vault /path/to/vault
# Rebuild the retrieval index (wiki/.wiki-index.json) without writing .base files
python scripts/agent_wiki_cli.py index --vault /path/to/vault
# Backfill source_type frontmatter to match each topic's sources[] file formats
python scripts/agent_wiki_cli.py normalize-source-type --vault /path/to/vault
# Generate Obsidian Bases (.base) views: wiki/index.base + <name>.base master table
python scripts/agent_wiki_cli.py gen-base --name sources --vault /path/to/vault
# Register an Agent-authored research report (wiki/queries/<name>.md) and tag kind: query
python scripts/agent_wiki_cli.py save-report <name> --vault /path/to/vault
# Generate per-topic JSON Canvas knowledge graphs under wiki/graphs/ (one topic or all)
python scripts/agent_wiki_cli.py gen-canvas --topic <name> --vault /path/to/vault
python scripts/agent_wiki_cli.py gen-canvas --all --vault /path/to/vault
# Build/refresh the wiki/index.md skeleton + its managed "工作区" card block
python scripts/agent_wiki_cli.py gen-home --vault /path/to/vault
# Render index.md without writing it, so an MCP-side conditional write can apply it
python scripts/agent_wiki_cli.py gen-home --emit-only --vault /path/to/vault
# Extract raw 作者 rows from each topic's source notes (read-only)
python scripts/agent_wiki_cli.py extract-authors --vault /path/to/vault
# Deduplicated first-author list per topic, for frontmatter backfill (read-only)
python scripts/agent_wiki_cli.py aggregate-authors --vault /path/to/vault
# Compute quality tier distribution and per-topic metrics (read-only)
python scripts/agent_wiki_cli.py quality --vault /path/to/vault
# Identify covered sources vs gaps (read-only)
python scripts/agent_wiki_cli.py coverage --vault /path/to/vault
# Inventory keywords across topics to derive subject categories (read-only)
python scripts/agent_wiki_cli.py keywords --vault /path/to/vault
# Get maintenance worklists: wanted (broken links) and stale topics (read-only)
python scripts/agent_wiki_cli.py worklist --vault /path/to/vault
# Generate static HTML site (optional, requires markdown package)
python scripts/agent_wiki_cli.py gen-site --vault /path/to/vault
What ships with it
60 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.
- .env.example 1.6 KB
- pyproject.toml 2.1 KB
- README.md 17 KB
- references/homepage.md 7.7 KB
- references/index-schema.md 6.9 KB
- references/site-export.md 3.1 KB
- references/topic-authoring.md 5.1 KB
- scripts/agent_wiki_cli.py 8.5 KB runs code
- scripts/agent_wiki/__init__.py 103 B runs code
- scripts/agent_wiki/authors.py 3.4 KB runs code
- scripts/agent_wiki/bases.py 3.9 KB runs code
- scripts/agent_wiki/batch.py 3.8 KB runs code
- scripts/agent_wiki/cache.py 3.8 KB runs code
- scripts/agent_wiki/canvas.py 8.1 KB runs code
- scripts/agent_wiki/cleanup.py 1.7 KB runs code
- scripts/agent_wiki/cli.py 97 B runs code
- scripts/agent_wiki/commands.py 31 KB runs code
- scripts/agent_wiki/config.py 2.7 KB runs code
- scripts/agent_wiki/coverage.py 2.0 KB runs code
- scripts/agent_wiki/doctor.py 5.1 KB runs code
- scripts/agent_wiki/frontmatter.py 1.3 KB runs code
- scripts/agent_wiki/home.py 8.0 KB runs code
- scripts/agent_wiki/keywords.py 1.9 KB runs code
- scripts/agent_wiki/links.py 15 KB runs code
- scripts/agent_wiki/obsidian_api.py 9.6 KB runs code
- scripts/agent_wiki/plugins.py 2.0 KB runs code
- scripts/agent_wiki/quality.py 7.4 KB runs code
- scripts/agent_wiki/scanner.py 5.6 KB runs code
- scripts/agent_wiki/site.py 39 KB runs code
- scripts/agent_wiki/source_type.py 3.2 KB runs code
- scripts/agent_wiki/wiki_index.py 17 KB runs code
- scripts/agent_wiki/worklist.py 5.6 KB runs code
- templates/home/academic.md 2.9 KB
- templates/home/dashboard.md 2.7 KB
- templates/home/magazine.md 2.5 KB
- templates/query/research.md 787 B
- tests/conftest.py 177 B runs code
- tests/fixtures/sample_vault/attachments/image.png 26 B
- tests/fixtures/sample_vault/课程/双缝实验.md 47 B
- tests/fixtures/sample_vault/课程/量子力学.md 75 B
- tests/test_alias_resolution.py 7.5 KB runs code
- tests/test_authors.py 2.2 KB runs code
- tests/test_backlinks.py 7.0 KB runs code
- tests/test_bases.py 4.7 KB runs code
- tests/test_batch.py 3.0 KB runs code
- tests/test_benchmark_index.py 2.1 KB runs code
- tests/test_cache_strict.py 2.0 KB runs code
- tests/test_cache.py 2.0 KB runs code
- tests/test_canvas.py 8.2 KB runs code
- tests/test_capture.py 5.5 KB runs code
- tests/test_cleanup_init_strict.py 2.1 KB runs code
- tests/test_cleanup.py 1.2 KB runs code
- tests/test_cli.py 5.4 KB runs code
- tests/test_config.py 2.0 KB runs code
- tests/test_coverage.py 7.2 KB runs code
- tests/test_doctor.py 3.9 KB runs code
- tests/test_e2e.py 2.5 KB runs code
- tests/test_evaluate_enhancements.py 17 KB runs code
- tests/test_featured_base.py 4.3 KB runs code
- tests/test_frontmatter.py 1.1 KB runs code
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.
- 2d ago Changed · +17 lines 612dbd131de1
- 3d ago Changed · +4 lines e18a45c0ffd1
- 4d ago Changed · +2 lines d5ef6e7486ee
- 5d ago Changed · +3 lines 5564fcff35d1
- 10d ago First seen · 337 lines · 89 tokens per session scan A c2480c41e28d
agent-wiki is a skill published in the GitHub repository Dianel555/DSkills (64 stars, last pushed 2d ago), licensed MIT. It adds 89 tokens to every session and 7,838 once invoked, about $0.0004 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.
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