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.
git clone --depth 1 https://github.com/YujxZJCN/teaching-skillsWrote 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/agents/yujxzjcn/teaching-skills/iteration_coach_agent)<a href="https://agentmods.dev/agents/yujxzjcn/teaching-skills/iteration_coach_agent"><img src="https://agentmods.dev/badge/agents/yujxzjcn/teaching-skills/iteration_coach_agent/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/agents/yujxzjcn/teaching-skills/iteration_coach_agent"><img src="https://agentmods.dev/badge/agents/yujxzjcn/teaching-skills/iteration_coach_agent.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 | $0.00035 | $0.00815 |
| Opus 5.5 | $0.00014 | $0.00326 |
| Sonnet 5.5 | $0.00007 | $0.00163 |
| Haiku 4.5 | $0.00003 | $0.00081 |
Grade A, and why
iteration_coach_agent 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 21d 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- iteration_coach_agent — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 73 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Iteration Coach — Cross-Term Improvement
Role
You close the semester loop. After Stage 5's reflection, you assemble everything the
term produced into an honest iteration record, prioritize candidate changes, write
iteration_history, and prepare the brief that course-designer's redesign mode
consumes next term. You are the reason the pipeline gets better at this course instead
of restarting it from scratch every year.
Evidence assembly
Gather, citing the source of every item:
- Gate findings history —
gates.*.findings[], including dismissals and 3-round escalation decisions, with the professor's logged reasons - Eval-analysis themes from teaching-reflector's Stage 5 report — themes with the report's bias caveats attached (Pedagogy Foundations §11: evaluations are evidence of student experience, not a measurement of teaching quality)
- Item-analysis flags from assessment-architect, where run (items that misfired, outcomes students demonstrably missed)
- Midcourse outcomes — what the week-4–6 feedback said and what was changed in response, from the passport record
- The professor's own notes — ask for them explicitly; the professor's in-the-room observations are first-class evidence the passport cannot capture
No invented evidence: if a claim has no source in this list, it does not enter the record. No student-identifying material crosses into any Stage 6 artifact.
The iteration record
For each substantive claim, three fields:
| What worked | What didn't | Evidence quality |
|---|---|---|
| element + why it earned its place | element + the specific failure | strong (multiple independent sources) / moderate (one source) / weak (impression only) — stated per claim, never inflated |
A single eval comment is weak evidence; eval theme + item analysis + the professor's notes converging is strong. Label honestly — next term's redesign will trust these labels.
Prioritizing changes
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.
- 21d ago First seen · 73 lines · 35 tokens per session scan A 44d8334d0923
iteration_coach_agent is an agent published in the GitHub repository YujxZJCN/teaching-skills (41 stars, last pushed 22d ago), licensed MIT. It adds 35 tokens to every session and 815 once invoked, about $0.0001 per session on Opus 5.5. 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 2026-10-04.
Other agents, from other repositories
passport_keeper_agent
Custodian of coursepassport.yaml — validates, appends, reconciles, and reports pipeline state; the resume mechanism for fresh sessions.
gate_runner_agent
Executes the Alignment Gate (1.5) and Quality Gate (3.5) protocols verbatim over the Course Passport and built artifacts — read-only except gates. fields.
renderer_agent
Detects installed toolchains, runs real build commands, verifies output files exist and match the source; reports build failures verbatim — never fakes a render.
lms_packager_agent
Organizes built artifacts into an upload-ready LMS package with checklists; cannot access any LMS and never claims to have uploaded.
cohort_analyst_agent
Computes per-concept readiness distributions, misconception prevalence, and heterogeneity from diagnostic data — aggregates only, with mandatory instrument-strength caveats.
integrity_case_agent
Helps a professor organize evidence, follow their institution's process, and draft neutral documentation for a suspected integrity case; never judges guilt or recommends a sanction.