Borrowing it
Nothing to install: this file belongs to dungnotnull/daily-quest-retention-system-agent-skill. 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/dungnotnull/daily-quest-retention-system-agent-skill/main/CLAUDE.mdgit clone --depth 1 https://github.com/dungnotnull/daily-quest-retention-system-agent-skillWrote 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/instructions/dungnotnull/daily-quest-retention-system-agent-skill/claude-md)<a href="https://agentmods.dev/instructions/dungnotnull/daily-quest-retention-system-agent-skill/claude-md"><img src="https://agentmods.dev/badge/instructions/dungnotnull/daily-quest-retention-system-agent-skill/claude-md/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/instructions/dungnotnull/daily-quest-retention-system-agent-skill/claude-md"><img src="https://agentmods.dev/badge/instructions/dungnotnull/daily-quest-retention-system-agent-skill/claude-md.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 | $0.01667 | $0.01667 |
| Opus 5 | $0.00834 | $0.00834 |
| Sonnet 5 | $0.00333 | $0.00333 |
| Haiku 4.5 | $0.00167 | $0.00167 |
Grade A, and why
daily-quest-retention-system-agent-skill CLAUDE.md 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 10d 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 — 180 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CLAUDE.md - Skill 268: daily-quest-retention-system
Skill Identity
- Skill Name:
daily-quest-retention-system - Tagline: Daily Quest & Retention System Design (Engagement Without Burnout) - Live-Ops Retention & Engagement Economy analysis & decision-support harness.
- Version: 2.0.0 (production-grade, open-source)
- Current Phase: Phase 6 - Architecture Upgrade & Production Polish (COMPLETE)
- Folder:
D:\972026\268-daily-quest-retention-system\
Problem This Skill Solves
This skill provides a structured, evidence-backed analytical workflow for the Live-Ops Retention & Engagement Economy. It gathers authoritative real-time and reference data, applies recognized domain methods, cross-references academic research, and delivers actionable outputs that are fully evidenced, risk/limitation-disclosed, and traceable to authoritative sources - continuously self-improving through an automated knowledge crawl pipeline.
Architecture (v2.0)
A chain-of-thought router + registry of specialized sub-agents, cross-cut by a typed tool layer and a hooks layer:
config/ -> type-safe Settings, LLM params, feature flags
hooks/ -> lifecycle, StateStore, EventEmitter
tools/ -> registry of schema-annotated, executable tools
skills/ -> main.md (orchestrator) + router.md + 5 sub-skills + registry.md
references/ -> domain grounding + prompt base-templates
assets/schemas/ -> JSON-Schema I/O contracts for each sub-skill
SECOND-KNOWLEDGE-BRAIN.md -> living knowledge base (crawl pipeline)
See assets/architecture_diagram.md and SKILL.md for the full contract.
Harness Flow Summary
/daily-quest-retention-system invoked
|
+-- Pre-Flight: language detection (vi/en)
+-- Step 0: router -> chain-of-thought dispatch, pick path
+-- Step 1: sub-gather-requirements (bookend) -> requirements.schema.json
+-- Step 2: sub-evidence-collector (path-dependent) -> evidence_bundle.schema.json
+-- Step 3: sub-core-analysis (xN for comparison) -> scorecard.schema.json
+-- Step 4: sub-knowledge-updater (bookend) -> knowledge_entry.schema.json
+-- Step 5: sub-advisor (bookend) -> verdict.schema.json
+-- Step 6: gate_engine (U1-U6 + G1-G4) -> final report
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.
- 10d ago First seen · 180 lines · 1,667 tokens per session scan A 2e90c5841c1a
daily-quest-retention-system-agent-skill CLAUDE.md is an instructions file published in the GitHub repository dungnotnull/daily-quest-retention-system-agent-skill (5 stars, last pushed 1mo ago), licensed MIT. It adds 1,667 tokens to every session, about $0.0083 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.
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