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 OleksiiDotsenko/english-exam-coach/plugin install english-exam-coachWrote 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/oleksiidotsenko/english-exam-coach/exam-router)<a href="https://agentmods.dev/skills/oleksiidotsenko/english-exam-coach/exam-router"><img src="https://agentmods.dev/badge/skills/oleksiidotsenko/english-exam-coach/exam-router/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/oleksiidotsenko/english-exam-coach/exam-router"><img src="https://agentmods.dev/badge/skills/oleksiidotsenko/english-exam-coach/exam-router.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 | $0.00137 | $0.01412 |
| Opus 5 | $0.00068 | $0.00706 |
| Sonnet 5 | $0.00027 | $0.00282 |
| Haiku 4.5 | $0.00014 | $0.00141 |
Grade A, and why
exam-router 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 — 103 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Exam Router
Entry point and orchestrator. Resolves which exam, which level, which section, then delegates. Does not evaluate work itself.
All plugin file paths below are relative to ${CLAUDE_PLUGIN_ROOT} (the
plugin's install directory; if the variable is unset, resolve paths relative
to this SKILL.md file, two directories up).
Supported exams
| exam id | Exam (nominative) | CEFR anchor |
|---|---|---|
ielts-academic |
IELTS Academic | B1–C2 (band 0–9) |
ielts-general |
IELTS General Training | B1–C2 (band 0–9) |
toefl-ibt |
TOEFL iBT (2026 format) | A1–C2 (bands 1–6) |
cefr-b1 |
B1 Preliminary | B1 |
cefr-b2 |
B2 First | B2 |
cefr-c1 |
C1 Advanced | C1 |
cefr-c2 |
C2 Proficiency | C2 |
Steps
- Resolve the request to exam id + CEFR level + section. Infer where
possible ("FCE writing" →
cefr-b2, B2, writing). If the exam is ambiguous AND matters for the task, ask one short question; otherwise default sensibly and say what you assumed. If the user names an English exam that is not one of the seven supported ids, do not silently map it onto a supported one — handle it per Boundaries. - Load
${CLAUDE_PLUGIN_ROOT}/data/exam-formats/<exam-id>.md. Answer format questions directly from it — never from memory. - Hand off by section: writing →
writing-evaluator, speaking →speaking-coach, reading/use of english →reading-use-of-english, listening →listening-trainer, vocabulary →vocabulary-builder, study plan / exam date →study-planner, results →progress-tracker. - Level diagnostic (when asked "what's my level" or via /assess-level):
- Items: 8 use-of-english items, 2 per level B1–C2 (mix open cloze, multiple-choice cloze, one inference item), presented easiest-first. Stop rule: two consecutive misses at a level caps the estimate there — do not keep probing above it.
- Writing sample (80–120 words) is the primary evidence: place it
against
${CLAUDE_PLUGIN_ROOT}/data/cefr/calibration-anchors.mdper criterion; the items refine, they don't outvote it. - Optionally add 3 can-do self-checks from
${CLAUDE_PLUGIN_ROOT}/data/cefr/can-do-statements.md. - Report a CEFR range (e.g. "B2, approaching C1"; "A2, approaching B1" for lower starters), state it is indicative, and state what was not measured (listening and speaking are not in this probe).
- Log it exactly once. This Step 4 call is the single source of the
level-diagnostic record; when the diagnostic is reached via
/assess-level (or any other entry point), do not log the same
diagnostic a second time. Use every required field, with
--cefr-estimate(that is what feeds cross-exam trends — a bare--band-estimate "B2-C1"has no numbers and normalizes to nothing):
(Windows withoutpython3 "${CLAUDE_PLUGIN_ROOT}/skills/progress-tracker/scripts/log_attempt.py" \ --exam <target exam or cefr-XX> --skill exam-router \ --task-type level-diagnostic --level <nearest anchor> \ --cefr-estimate <estimated level> --score <items correct> --max 8 \ --seconds <measured>python3: run the same line withpythonorpy.) Thelevel-diagnosticrow is reference-only — a level-establishing probe, not a drillable task — so never surface it as a "weakest task type" to drill.
- Suggest a next step grounded in the user's goal (target exam, weakest
section, or
/daily-drill).
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 · 103 lines · 137 tokens per session scan A f35b9baa54a6
exam-router is a skill published in the GitHub repository OleksiiDotsenko/english-exam-coach (8 stars, last pushed 1mo ago), licensed MIT. It adds 137 tokens to every session and 1,412 once invoked, about $0.0007 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.
Other skills, from other repositories
oral-english-practice
A Claude Code skill that stores and analyses spoken-English practice completed in the Claude app. The app handles the conversation; this skill keeps reports, scores, mistakes, progress trends, and the next practice focus.
language-coach
Language coaching for every prompt. Use when the user runs /language-coach with any sub-command (setup, native, target, style, response, goal, mode, focus, band, level, status, off, on). Routes to the correct action based on the argument provided.
language-review
Analyze language learning progress from local data. Use when the user runs /language-coach:language-review or asks to review their progress, see their band history, check improvement trends, or analyze their IELTS score data.
learning-and-development
Builds capability — skills gaps, career frameworks, training that transfers to the job, and internal mobility. Use this to design a career ladder, close a capability gap, decide whether to build or hire a skill, structure onboarding into a role, or work out why training keeps failing to change anything.
diagnose
A short question-based assessment of a pilot's current skill level. It produces a profile and saves it in the connected browser or database.
lesson-close
A workflow for finishing the day's lesson file, recording its status and duration, then saving it to the personal-guide GitHub repository.