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 glebis/claude-skills --skill agency-docs-updatergit clone --depth 1 https://github.com/glebis/claude-skillsWrote 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/glebis/claude-skills/agency-docs-updater)<a href="https://agentmods.dev/skills/glebis/claude-skills/agency-docs-updater"><img src="https://agentmods.dev/badge/skills/glebis/claude-skills/agency-docs-updater/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/glebis/claude-skills/agency-docs-updater"><img src="https://agentmods.dev/badge/skills/glebis/claude-skills/agency-docs-updater.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high Tool Misuse · line 199 Tool parameters are crafted to achieve unintended or unsafe behavior. Parameter abuse can bypass intended safety checks (e.g. shell=True, --force, dangerous glob patterns).Fix: Validate all tool parameters against an allowlist. Reject dangerous parameter values (shell=True, --force, -rf /) and use safe defaults.
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 | $0.00079 | $0.05509 |
| Opus 5.5 | $0.00032 | $0.02204 |
| Sonnet 5.5 | $0.00016 | $0.01102 |
| Haiku 4.5 | $0.00008 | $0.00551 |
Grade A, and why
agency-docs-updater scanned grade A with 1 finding 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 yesterday.
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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -L -H "Authorization: Bearer ${TOK}" -o ${VAULT_DIR}/${VIDEO_NAME}.mp4 "${MP4_DOWNLOAD_URL}" How it starts
The opening of the file, as written. The whole thing — 341 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Agency Docs Updater
Execute ALL steps automatically in sequence. Only pause if a step fails and cannot be recovered. Read references/learnings.md before starting for known pitfalls.
Configuration: paths are read from .env in the skill root (see .env.example). Defaults work for the standard setup. Key env vars: VAULT_DIR, DOCS_SITE_DIR, YOUTUBE_UPLOADER_DIR, PRESENTATIONS_DIR, SKILLS_REPO_DIR, SKILLS_LOCAL_DIR, ZOOM_CREDENTIALS_DIR, GITHUB_REPO, SITE_DOMAIN.
Dependencies (verify these exist before running):
- zoom — Zoom recording download (
scripts/zoom_meetings.py) - fathom — Fathom video fallback (
scripts/download_video.py) - nano-banana — thumbnail overlay generation (
scripts/generate_image.sh) - calendar-sync — local-only, calendar event sync (
sync.sh) - youtube-uploader — video processing, upload, and YouTube API auth
Step 0: Parse Arguments & Load Config
Load .env from skill root. Then split args by whitespace:
- 8-digit token (
YYYYMMDD) →DATE - "yesterday" →
DATE = $(date -v-1d +%Y%m%d) - "today" or missing →
DATE = $(date +%Y%m%d) - 2-digit token (
NN) orlab-NN→LAB_FILTER - slug token (e.g.
ai-design,claude-code) →LAB_SLUG(overrides env; defaultclaude-code)
Expand env vars for paths used in subsequent steps:
VAULT_DIR="${VAULT_DIR:-$HOME/Brains/brain}"
DOCS_SITE_DIR="${DOCS_SITE_DIR:-$HOME/Sites/agency-docs}"
YOUTUBE_UPLOADER_DIR="${YOUTUBE_UPLOADER_DIR:-$HOME/ai_projects/youtube-uploader}"
SKILLS_REPO_DIR="${SKILLS_REPO_DIR:-$HOME/ai_projects/claude-skills}"
SKILLS_LOCAL_DIR="${SKILLS_LOCAL_DIR:-$HOME/.claude/skills}"
ZOOM_CREDENTIALS_DIR="${ZOOM_CREDENTIALS_DIR:-$HOME/.zoom_credentials}"
PRESENTATIONS_DIR="${PRESENTATIONS_DIR:-$HOME/ai_projects/claude-code-lab}"
GITHUB_REPO="${GITHUB_REPO:-glebis/agency-docs}"
SITE_DOMAIN="${SITE_DOMAIN:-agency-lab.glebkalinin.com}"
LAB_SLUG="${LAB_SLUG:-claude-code}" # e.g. ai-design for the AI Design Lab
LAB_TITLE="${LAB_TITLE:-$(echo $LAB_SLUG | tr '-' ' ' | awk '{for(i=1;i<=NF;i++) $i=toupper(substr($i,1,1)) substr($i,2)}1' | sed 's/^Ai /AI /')}" # "Claude Code", "AI Design"
What ships with it
18 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.
- .claude-plugin/plugin.json 305 B
- .env.example 938 B
- labs.json 1.2 KB
- references/bot-announcement.md 4.4 KB
- references/learnings.md 12 KB
- references/thumbnail-guide.md 4.2 KB
- references/workflow-conversion-analysis.md 7.4 KB
- references/workflows.md 5.5 KB
- references/youtube-api.md 3.4 KB
- scripts/cut_spans.py 3.3 KB runs code
- scripts/detect_lesson_start.py 8.1 KB runs code
- scripts/lab_layout.py 2.9 KB runs code
- scripts/poll-and-publish.sh 3.4 KB runs code
- scripts/preflight.sh 2.7 KB runs code
- scripts/rebuild_aggregations.py 19 KB runs code
- scripts/safe_build.sh 976 B runs code
- scripts/trim_leading_silence.sh 2.2 KB runs code
- scripts/update_meeting_doc.py 13 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.
- yesterday Changed · +6 lines 52adff8e859b
- 2mo ago First seen · 335 lines · 79 tokens per session scan A 9867c844bd40
agency-docs-updater is a skill published in the GitHub repository glebis/claude-skills (407 stars, last pushed 2d ago), licensed MIT. It adds 79 tokens to every session and 5,509 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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