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 agentmods add agents/polyarch/humanize/plan-understanding-quizgit clone --depth 1 https://github.com/PolyArch/humanizeWhat 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 | $0.00039 | $0.01184 |
| Opus 5 | $0.00019 | $0.00592 |
| Sonnet 5 | $0.00008 | $0.00237 |
| Haiku 4.5 | $0.00004 | $0.00118 |
Grade A, and why
plan-understanding-quiz 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 2d 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 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.
- 2d ago First seen · 104 lines · 39 tokens per session scan A 94c1d37780ef
plan-understanding-quiz is an agent published in the GitHub repository PolyArch/humanize (1,435 stars, last pushed 5d ago), with no licence file. It adds 39 tokens to every session and 1,184 once invoked, about $0.0002 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 2026-08-30.
Other agents, from other repositories
release-manager
The Release Manager of the aSPARK team. Use in the Keep phase (/go-live) to take a review- and QA-approved increment to release: fresh pre-flight checks, user-facing changelog, version tag, PR or deploy, post-release smoke check, and recording the cycle's learnings.
docs-writer
Prose-heavy changes — READMEs, ADRs, tutorials, API reference pages.
03-local-memory
When .harness/memory/LEARNINGS.md exists, treat it as a repo-specific append-only knowledge base for recurring fixes and repository-grounded operational context.
work-recorder
Use to maintain the session work record under docs/workrecords/. Appends a first-person narrative of what was done, decided, and verified. Background documentation role.
chadi-memory
Memory subagent — graphyloop memory is the active store (PMB MCP disabled). Recall before work, store after.
graveyard-interpreter
Interpret a packed lifeboat's graveyard — say what was tried and why it was left behind, each lesson citing the layer-1/2 finding ids it rests on. Host-delegated; feeds abcd disembark graveyard --lessons-json.