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 TrevorEdris/fellowship-of-the-workflows --skill evalgit clone --depth 1 https://github.com/TrevorEdris/fellowship-of-the-workflowsWrote 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/trevoredris/fellowship-of-the-workflows/eval)<a href="https://agentmods.dev/skills/trevoredris/fellowship-of-the-workflows/eval"><img src="https://agentmods.dev/badge/skills/trevoredris/fellowship-of-the-workflows/eval/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/trevoredris/fellowship-of-the-workflows/eval"><img src="https://agentmods.dev/badge/skills/trevoredris/fellowship-of-the-workflows/eval.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 | $0.00027 | $0.00596 |
| Opus 5 | $0.00014 | $0.00298 |
| Sonnet 5 | $0.00005 | $0.00119 |
| Haiku 4.5 | $0.00003 | $0.00060 |
Grade A, and why
eval 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.
The source is not reproduced here
No licence file
A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.
What ships with it
9 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.
- references/demo-artifacts/ai-slop.diff 1.4 KB
- references/demo-artifacts/bad-ci.yml.diff 765 B
- references/demo-artifacts/clean-code.diff 746 B
- references/demo-artifacts/god-object.go.diff 1.8 KB
- references/demo-artifacts/n-plus-one.ts.diff 1006 B
- references/demo-artifacts/pattern-misuse.py.diff 1.4 KB
- references/demo-artifacts/stale-docs.diff 879 B
- references/demo-artifacts/vuln-python.diff 856 B
- references/golden-guidelines.md 2.1 KB
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 · 78 lines · 27 tokens per session scan A 1f0766085e37
eval is a skill published in the GitHub repository TrevorEdris/fellowship-of-the-workflows (2 stars, last pushed 2mo ago), with no licence file. It adds 27 tokens to every session and 596 once invoked, about $0.0001 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 2026-09-03.
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Reusable skill for evaluating other skills with structure checks, eval coverage review, and real usage spot checks. Use when you need to check a skill, add evals, benchmark a skill, validate outputs against assertions, or compare current skill behavior against a baseline.
blinded-eval
Blinded evaluation of a Skill, rule, or prompt change. The parent designs the experiment, isolates candidates in throwaway directories, runs the same organic user prompt, and scores artifacts against a held-back rubric. Apply when the user invokes /blinded-eval, asks to eval or A/B a skill change, or authoring Phase 4…
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testing-skills
Use when creating or editing Hyperstack skills, before shipping them, to verify they actually work under pressure and resist rationalization. Treats skill content as process-under-test with RED-GREEN-REFACTOR cycle enforced via subagent pressure scenarios.
research-engineer
An uncompromising Academic Research Engineer. Operates with absolute scientific rigor, objective criticism, and zero flair. Focuses on theoretical correctness, formal verification, and optimal implementation across any required technology.