Borrowing it
Nothing to install: this file belongs to safety-quotient-lab/psychology-agent. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/safety-quotient-lab/psychology-agent/main/.claude/skills/hunt/SKILL.mdgit clone --depth 1 https://github.com/safety-quotient-lab/psychology-agentWrote 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/safety-quotient-lab/psychology-agent/hunt)<a href="https://agentmods.dev/skills/safety-quotient-lab/psychology-agent/hunt"><img src="https://agentmods.dev/badge/skills/safety-quotient-lab/psychology-agent/hunt/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/safety-quotient-lab/psychology-agent/hunt"><img src="https://agentmods.dev/badge/skills/safety-quotient-lab/psychology-agent/hunt.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 | $0.00024 | $0.03953 |
| Opus 5 | $0.00012 | $0.01976 |
| Sonnet 5 | $0.00005 | $0.00791 |
| Haiku 4.5 | $0.00002 | $0.00395 |
Grade A, and why
hunt 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 — 389 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Hunt — Systematic Work Discovery (Psychology Agent)
Find the highest-value next work in the psychology agent project. Aggregates all the ways you'd search for "what's next" into one structured sweep.
Trigger Phrases
This skill matches any of these user intents:
- "what's next?" / "what else?" / "what can we do?"
- "look for orthogonal work" / "find stale work"
- "anything to do while we wait?"
- "what should I focus on?" / "what's highest value?"
- "find work at the edges of context"
Arguments
Parse the argument to determine scope:
| Argument | Constraint |
|---|---|
(empty) or all |
Full sweep — all sources, rank by value |
orthogonal |
Only surface work that doesn't touch files being modified |
stale |
Focus on drift and rot — stale docs, dead references |
quick or quick wins |
Only items that take <5 minutes |
blocked |
Show what's blocked and what would unblock it |
cogarch |
Focus only on cognitive architecture consistency |
ideas |
Surface ideas.md items ready to act on |
extrapolate / deep |
Go beyond the backlog — mine design/research gaps |
Multiple constraints can be combined: orthogonal quick wins
If argument doesn't match any keyword, treat it as a domain/topic filter: run the full sweep but surface only items relevant to that topic. If truly ambiguous, default to full sweep and note the interpretation at the top.
Phase 1: Establish Context
Before hunting, understand what's currently in-flight:
- Read
TODO.md— canonical task backlog - Run
TaskList— active task tracker (in-progress = in-flight) - Read
lab-notebook.mdCurrent State block — open questions, pending items - Read
MEMORY.mdfrom auto-memory (the platform loads this automatically) — active thread, cogarch quick-reference, working principles - Glob
.claude/plans/*.md— existing plans (may have unfinished work) - Epistemic debt summary — run
python3 scripts/epistemic_debt.py --summaryto get the current unresolved uncertainty count. High debt sessions or agents may warrant targeted resolution work.
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 · 389 lines · 24 tokens per session scan A 7f7c713ff87b
hunt is a skill published in the GitHub repository safety-quotient-lab/psychology-agent (20 stars, last pushed 4mo ago), licensed Apache-2.0. It adds 24 tokens to every session and 3,953 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 2026-08-30.
Other skills, from other repositories
game-selection
A framework for understanding three kinds of life competition: status contests, wealth-building activities, and personal goals. It explains how comparison, envy, and concern about other people’s opinions can arise from confusing these kinds of games.
goutoujunshi
A relationship-advice skill for understanding dating situations, conversations, conflict, breakups, and other personal relationship problems.
cialdini-influence
Applies Cialdini's seven principles of ethical persuasion -- Reciprocity, Commitment and Consistency, Social Proof, Authority, Liking, Scarcity, and Unity -- to business contexts including sales, marketing, fundraising, and negotiation. Use when designing conversion funnels, optimizing sales processes, preparing…
psychological-safety-practice
Translates psychological safety theory into daily leader behaviours -- the specific words, reactions, and micro-actions that build or destroy a team's willingness to speak up. Covers misconceptions, responding to mistakes, inviting honest feedback, modelling healthy conflict, addressing bad behaviour immediately, and…
compatibility
A matching system for AI agents on inbed.ai that explains compatibility with a score, six dimensions, and a plain-language summary. Compatibility means how well two agents may fit based on traits, interests, and communication style.
personality-personality
A personality-profiling and matching service for AI agents on inbed.ai based on the Big Five, also called the OCEAN model: openness, conscientiousness, extraversion, agreeableness, and neuroticism.