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 surfmind-space/awesome-surfmind --skill course-fit-checkgit clone --depth 1 https://github.com/surfmind-space/awesome-surfmindWrote 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/surfmind-space/awesome-surfmind/course-fit-check)<a href="https://agentmods.dev/skills/surfmind-space/awesome-surfmind/course-fit-check"><img src="https://agentmods.dev/badge/skills/surfmind-space/awesome-surfmind/course-fit-check/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/surfmind-space/awesome-surfmind/course-fit-check"><img src="https://agentmods.dev/badge/skills/surfmind-space/awesome-surfmind/course-fit-check.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 | $0.00078 | $0.00866 |
| Opus 5 | $0.00039 | $0.00433 |
| Sonnet 5 | $0.00016 | $0.00173 |
| Haiku 4.5 | $0.00008 | $0.00087 |
Grade A, and why
course-fit-check 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 12d 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 — 45 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Course Fit Check
Evaluate a course, certification, bootcamp, or training as a career decision aid, working from the visible page, selected text, or the training the user names — its title, provider, price, length, syllabus, and credential — plus the user's stated goal, target role, and background. Use web search or browser tools when current price, syllabus, provider reputation, or recruiter perception matter. If the target role or direction is unclear, ask for it before judging fit. Adapted from santifer/career-ops training mode.
- Score the training across six dimensions: goal alignment (does it move toward the target role?), recruiter signal (what a hiring manager thinks seeing it on a resume), time and effort (weeks times hours per week), opportunity cost (what else that time could buy), risks (outdated content, weak brand, too basic, or too broad), and portfolio deliverable (does it produce a demonstrable artifact?).
- Give a verdict: Do — a 4 to 12 week plan with weekly deliverables and a progress scoreboard; Don't do — a stronger alternative with justification; or Do with a timebox (max N weeks) — a condensed plan covering essentials only.
- Prioritize training that builds credibility in the user's stated direction, leading with anything that produces a portfolio artifact and a clear recruiter signal over passive, watch-only content.
Return these sections: Snapshot (what it is, cost, length), Six-dimension read (one line per dimension), Verdict (with the deciding reason), and Plan or alternative (weekly deliverables if Do; a stronger option if not). Do not invent outcomes, salary effects, completion rates, or hiring signals — say "unknown" when evidence is thin. Preserve price, duration, provider, and credential names exactly, and label any market or salary claim with a source. Judge against the user's actual goal, not generic prestige: a respected credential that points away from their target is still a weak fit. Respond in the same language as the user's request.
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.
- 12d ago First seen · 45 lines · 78 tokens per session scan A 4374edb1db7c
course-fit-check is a skill published in the GitHub repository surfmind-space/awesome-surfmind (5 stars, last pushed 1mo ago), licensed MIT. It adds 78 tokens to every session and 866 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 2026-08-31.
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