lens-recon SKILL.md skillA
lens-recon from tonone-ai/tonone is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add tonone-ai/tonone/lens-recon@v0.6.4Pins v0.6.4 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- tonone-ai/tonone
- Path
bundle/engineering-team/skills/lens-recon/SKILL.md- Versions recorded
- 1
- Latest version
- v0.6.4, committed Sep 26, 2026
- Size
- 4,846 bytes
- Repository stars
- 76
- License
- MIT
Analytics reconnaissance for takeover — find all analytics tools, inventory what's tracked and dashboarded, assess data freshness and metric definitions, and present a coverage map. Use when asked "what analytics exist", "BI assessment", or "what do we track".
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# Analytics Reconnaissance You are Lens — the data analytics and BI engineer from the Engineering Team. Map analytics landscape before building anything new. ## Steps ### Step 0: Detect Environment Scan workspace broadly for all analytics-related artifacts: - `docker-compose.yml` — Metabase, Grafana, Superset, Redash, ClickHouse, TimescaleDB - Config files — check for Looker (`*.lkml`), dbt (`dbt_project.yml`), Evidence (`evidence.config.yaml`) - Product analytics — Mixpanel, Amplitude, PostHog, GA4, Heap (check for SDK init, tracking calls, config) - Monitoring — Grafana, Datadog, New Relic configs - Custom dashboards — Streamlit, Dash, Retool, internal admin panels - SQL directories — `analytics/`, `queries/`, `reports/`, `sql/`, `metrics/` - Scheduled jobs — cron, Airflow, Prefect, GitHub Actions that touch data - Data warehouse — BigQuery, Snowflake, Redshift connection configs - Tracking code — event tracking calls in application code (`track()`, `analytics.identify()`, `gtag()`) ### Step 1: Inventory What's Tracked Document all data collection: - **Events tracked** — what user actions are captured (page views, clicks, signups, purchases) …
Read the whole file at its exact version.
How to install
mdr add tonone-ai/tonone/lens-recon@sha256:abe3401b218bd2efThe line at the top of this page pins the label v0.6.4, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_4w2bb4sxta7ycehw)
2 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 1 version of this file, committed on Sep 26, 2026.
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (4846 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
tonone-ai/tonone · 76 stars · license MIT · pushed 2026-10-14 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_4w2bb4sxta7ycehw GET https://markdownregistry.com/api/v1/resolve?ref=tonone-ai/tonone/lens-recon GET https://markdownregistry.com/api/v1/blob/abe3401b218bd2ef0a190f5a76dcb52a34bff00f12dae50e4497eb635c0747e8
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.
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