Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/teachskillofskills-ai/ContentForge-techshunpx agentmods add skills/teachskillofskills-ai/contentforge-techshu/cf-environmentWrote 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-environment)<a href="https://agentmods.dev/skills/teachskillofskills-ai/contentforge-techshu/cf-environment"><img src="https://agentmods.dev/badge/skills/teachskillofskills-ai/contentforge-techshu/cf-environment/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-environment"><img src="https://agentmods.dev/badge/skills/teachskillofskills-ai/contentforge-techshu/cf-environment.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 | $0.00156 | $0.01965 |
| Opus 5 | $0.00078 | $0.00983 |
| Sonnet 5 | $0.00031 | $0.00393 |
| Haiku 4.5 | $0.00016 | $0.00197 |
Grade A, and why
cf-environment 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 9d 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-environment — 2 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 — 158 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/contentforge:cf-environment
Detect where ContentForge is running and report which of its capabilities work in that environment. ContentForge has different real-world behavior on each surface because filesystem access, MCP transports, and subprocess invocation all differ.
When to use this skill
- User asks "will my files actually save to my Documents folder?"
- User asks "does this work in Cowork?"
- User reports that
~/Documents/ContentForge/is empty after a run - Before kicking off a long (20-60 min) content pipeline, to set expectations
- During brand-setup, to decide between MCP-Drive and service-account routes
Behavior
Step 1 — Run the environment probe
python scripts/plugin-metadata.py --section environment
This returns JSON with environment (one of cowork-sandbox,
claude-code-windows, claude-code-mac, claude-code-linux,
linux-sandbox-uncertain, unknown — six possible values), filesystem
indicators, a cowork_warning field that's non-null when a sandbox
(confirmed or suspected) is detected, and a signals object (strong /
weak lists) showing exactly which detection heuristics fired — useful
for --verbose or when a user disputes the classification.
Step 2 — Present the capability matrix for the detected environment
Render one of the matrices below based on the JSON environment. The six
values map to three matrices: cowork-sandbox AND linux-sandbox-uncertain
both use the Cowork matrix (uncertain gets a one-line caveat first, see
below); claude-code-windows / -mac / -linux share the local matrix;
unknown gets its own fallback.
cowork-sandbox
Cowork is the recommended environment for teams as of v3.12.9 — it has the friendliest UX, lowest setup friction, and works for non-CLI users. But it requires one extra setup step (connecting Google Drive) because the sandbox filesystem doesn't persist. After Drive is wired, everything works.
Also check: is a Drive MCP available in this session? Scan your available tools for mcp__*drive* or the Anthropic-platform Drive integration. The capability matrix below splits on that.
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.
- 9d ago First seen · 158 lines · 156 tokens per session scan A 6a12d2ae62dd
cf-environment is a skill published in the GitHub repository teachskillofskills-ai/ContentForge-techshu (1 stars, last pushed 20d ago), licensed MIT. It adds 156 tokens to every session and 1,965 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-environment, differing in 2 lines, and is treated as a copy.
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