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/commands/oleksiidotsenko/english-exam-coach/session-report)<a href="https://agentmods.dev/commands/oleksiidotsenko/english-exam-coach/session-report"><img src="https://agentmods.dev/badge/commands/oleksiidotsenko/english-exam-coach/session-report/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/commands/oleksiidotsenko/english-exam-coach/session-report"><img src="https://agentmods.dev/badge/commands/oleksiidotsenko/english-exam-coach/session-report.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 | $0.00010 | $0.00242 |
| Opus 5 | $0.00005 | $0.00121 |
| Sonnet 5 | $0.00002 | $0.00048 |
| Haiku 4.5 | $0.00001 | $0.00024 |
Grade A, and why
session-report 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 11d 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.
What it actually says
Build the session report: $ARGUMENTS
Run:
python3 "${CLAUDE_PLUGIN_ROOT}/skills/progress-tracker/scripts/build_report.py" --scope session
(append --session $ARGUMENTS if a session id was given; otherwise it uses
the most recent session in the log).
If python3 is not found (common on Windows), run the same command with
python or py instead.
Show the report body to the user and mention where it was written
(<base>/reports/session-<id>.md). If the script reports no attempts yet,
offer /daily-drill instead of improvising numbers.
If no session id was given and the most recent session in the log is not
from today, say so explicitly ("no attempts logged today — this is your
last session, from ") before showing it, and offer /daily-drill, so
a stale session is never presented as if it were today's.
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.
- 11d ago First seen · 23 lines · 10 tokens per session scan A 98481359a190
session-report is a command published in the GitHub repository OleksiiDotsenko/english-exam-coach (8 stars, last pushed 1mo ago), licensed MIT. It adds 10 tokens to every session and 242 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 2026-08-31.
Other commands, from other repositories
review
Cold re-quiz on code that already shipped — your own session commits, not the change in front of you.
learn
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quiz
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resources
Find curated learning resources — books, courses, tutorials, and docs for any topic.
review
View your learning progress — quiz scores, weak areas, and what to study next.
interview
Prepare for the interview from the filed application — predicted questions, STAR answers from real evidence, and gap-defence.