Getting it into your agent
This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.
/plugin marketplace add teachskillofskills-ai/ContentForge-techshu/plugin install contentforgeWrote 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/teachskillofskills-ai/contentforge-techshu/cf-analytics)<a href="https://agentmods.dev/skills/teachskillofskills-ai/contentforge-techshu/cf-analytics"><img src="https://agentmods.dev/badge/skills/teachskillofskills-ai/contentforge-techshu/cf-analytics/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/teachskillofskills-ai/contentforge-techshu/cf-analytics"><img src="https://agentmods.dev/badge/skills/teachskillofskills-ai/contentforge-techshu/cf-analytics.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 | $0.00151 | $0.03122 |
| Opus 5 | $0.00076 | $0.01561 |
| Sonnet 5 | $0.00030 | $0.00624 |
| Haiku 4.5 | $0.00015 | $0.00312 |
Grade A, and why
cf-analytics 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 8d 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.
This is a copy
100% identical to cf-analytics — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 282 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Content Analytics Dashboard
Track ContentForge production quality, pipeline timing, brand-specific patterns, and compliance trends over configurable time periods with automated insights and alert flags.
When to Use
Use /contentforge:cf-analytics when you need:
- Quality trend visibility — Are scores improving or declining over time?
- Pipeline performance audit — Which phases are slowest? Where are bottlenecks?
- Brand comparison — Which brands consistently score highest/lowest?
- Content type analysis — Are articles scoring better than whitepapers?
- Compliance monitoring — Citation rates, brand adherence, loop frequency
- Capacity planning — Average throughput for estimating batch timelines
For real-time batch monitoring, use the Progress Tracker (built into /contentforge:batch-process).
For individual content production, use /contentforge:create-content.
What This Command Does
Loads historical production data from the brand's configured tracking backend (Google Sheets, Airtable, or local — see tracking.backend in the brand profile), calculates aggregate metrics across configurable dimensions, identifies statistical outliers and concerning trends, generates an ASCII dashboard with actionable recommendations, and flags alerts when performance degrades.
Process Flow:
- Load Data — Read tracking records from the brand's tracking backend (Google Sheets / Airtable / local JSON)
- Filter & Parse — Apply time period, brand, content type, and metric focus filters
- Calculate Aggregates — Average scores, trends, percentiles, phase timing breakdowns
- Detect Outliers — Flag data points beyond 2.0 standard deviations from mean
- Generate Insights — Identify patterns, correlations, and improvement opportunities
- Present Dashboard — Render ASCII analytics display with charts and recommendations
- Alert Check — Evaluate alert rules and surface any triggered flags
What ships with it
1 file 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.
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.
- 8d ago First seen · 282 lines · 151 tokens per session scan A 1b898cc846a6
cf-analytics is a skill published in the GitHub repository teachskillofskills-ai/ContentForge-techshu (1 stars, last pushed 19d ago), licensed MIT. It adds 151 tokens to every session and 3,122 once invoked, about $0.0008 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to cf-analytics, differing in 0 lines, and is treated as a copy.
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