Claude Code Templates is a command-line tool and catalogue for configuring Anthropic’s Claude Code with agents, commands, settings, hooks, integrations, skills, and project templates. Developers use it to browse and install reusable components for their coding workflows. The catalogue includes many of these Claude Code components.
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 skills add davila7/claude-code-templates --skill loki-modegit clone --depth 1 https://github.com/davila7/claude-code-templatesWrote 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/davila7/claude-code-templates/loki-mode)<a href="https://agentmods.dev/skills/davila7/claude-code-templates/loki-mode"><img src="https://agentmods.dev/badge/skills/davila7/claude-code-templates/loki-mode.svg" alt="Measured on agentmods" 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 | $0.00152 | $0.06595 |
| Opus 5 | $0.00076 | $0.03298 |
| Sonnet 5 | $0.00030 | $0.01319 |
| Haiku 4.5 | $0.00015 | $0.00660 |
Grade A, and why
loki-mode 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 3d 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 — 722 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Loki Mode - Multi-Agent Autonomous Startup System
Version 2.35.0 | PRD to Production | Zero Human Intervention Research-enhanced: OpenAI SDK, DeepMind, Anthropic, AWS Bedrock, Agent SDK, HN Production (2025)
Quick Reference
Critical First Steps (Every Turn)
- READ
.loki/CONTINUITY.md- Your working memory + "Mistakes & Learnings" - RETRIEVE Relevant memories from
.loki/memory/(episodic patterns, anti-patterns) - CHECK
.loki/state/orchestrator.json- Current phase/metrics - REVIEW
.loki/queue/pending.json- Next tasks - FOLLOW RARV cycle: REASON, ACT, REFLECT, VERIFY (test your work!)
- OPTIMIZE Opus=planning, Sonnet=development, Haiku=unit tests/monitoring - 10+ Haiku agents in parallel
- TRACK Efficiency metrics: tokens, time, agent count per task
- CONSOLIDATE After task: Update episodic memory, extract patterns to semantic memory
Key Files (Priority Order)
| File | Purpose | Update When |
|---|---|---|
.loki/CONTINUITY.md |
Working memory - what am I doing NOW? | Every turn |
.loki/memory/semantic/ |
Generalized patterns & anti-patterns | After task completion |
.loki/memory/episodic/ |
Specific interaction traces | After each action |
.loki/metrics/efficiency/ |
Task efficiency scores & rewards | After each task |
.loki/specs/openapi.yaml |
API spec - source of truth | Architecture changes |
CLAUDE.md |
Project context - arch & patterns | Significant changes |
.loki/queue/*.json |
Task states | Every task change |
Decision Tree: What To Do Next?
START
|
+-- Read CONTINUITY.md ----------+
| |
+-- Task in-progress? |
| +-- YES: Resume |
| +-- NO: Check pending queue |
| |
+-- Pending tasks? |
| +-- YES: Claim highest priority
| +-- NO: Check phase completion
| |
+-- Phase done? |
| +-- YES: Advance to next phase
| +-- NO: Generate tasks for phase
| |
LOOP <-----------------------------+
What ships with it
60 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- .github/workflows/claude-code-review.yml 1.9 KB
- .github/workflows/claude.yml 1.8 KB
- .github/workflows/release.yml 4.8 KB
- .gitignore 10 B
- ACKNOWLEDGEMENTS.md 12 KB
- autonomy/.loki/dashboard/index.html 15 KB
- autonomy/CONSTITUTION.md 10 KB
- autonomy/README.md 7.5 KB
- autonomy/run.sh 74 KB runs code
- benchmarks/datasets/humaneval.jsonl 209 KB
- benchmarks/datasets/swebench-lite.json 321 B
- benchmarks/prepare-submission.sh 6.6 KB runs code
- benchmarks/results/2026-01-05-00-23-56/humaneval-results.json 365 B
- benchmarks/results/2026-01-05-00-23-56/SUMMARY.md 1.2 KB
- benchmarks/results/2026-01-05-00-23-56/swebench-results.json 383 B
- benchmarks/results/2026-01-05-00-49-17/humaneval-results.json 34 KB
- benchmarks/results/2026-01-05-00-49-17/humaneval-solutions/0.py 528 B runs code
- benchmarks/results/2026-01-05-00-49-17/humaneval-solutions/1.py 936 B runs code
- benchmarks/results/2026-01-05-00-49-17/humaneval-solutions/10.py 758 B runs code
- benchmarks/results/2026-01-05-00-49-17/humaneval-solutions/100.py 598 B runs code
- benchmarks/results/2026-01-05-00-49-17/humaneval-solutions/101.py 537 B runs code
- benchmarks/results/2026-01-05-00-49-17/humaneval-solutions/102.py 436 B runs code
- benchmarks/results/2026-01-05-00-49-17/humaneval-solutions/103.py 519 B runs code
- benchmarks/results/2026-01-05-00-49-17/humaneval-solutions/104.py 602 B runs code
- benchmarks/results/2026-01-05-00-49-17/humaneval-solutions/105.py 1.1 KB runs code
- benchmarks/results/2026-01-05-00-49-17/humaneval-solutions/106.py 749 B runs code
- benchmarks/results/2026-01-05-00-49-17/humaneval-solutions/107.py 938 B runs code
- benchmarks/results/2026-01-05-00-49-17/humaneval-solutions/108.py 720 B runs code
- benchmarks/results/2026-01-05-00-49-17/humaneval-solutions/109.py 1.6 KB runs code
- benchmarks/results/2026-01-05-00-49-17/humaneval-solutions/11.py 443 B runs code
- benchmarks/results/2026-01-05-00-49-17/humaneval-solutions/110.py 882 B runs code
- benchmarks/results/2026-01-05-00-49-17/humaneval-solutions/111.py 859 B runs code
- benchmarks/results/2026-01-05-00-49-17/humaneval-solutions/112.py 732 B runs code
- benchmarks/results/2026-01-05-00-49-17/humaneval-solutions/113.py 853 B runs code
- benchmarks/results/2026-01-05-00-49-17/humaneval-solutions/114.py 447 B runs code
- benchmarks/results/2026-01-05-00-49-17/humaneval-solutions/115.py 1.2 KB runs code
- benchmarks/results/2026-01-05-00-49-17/humaneval-solutions/116.py 521 B runs code
- benchmarks/results/2026-01-05-00-49-17/humaneval-solutions/117.py 995 B runs code
- benchmarks/results/2026-01-05-00-49-17/humaneval-solutions/118.py 835 B runs code
- benchmarks/results/2026-01-05-00-49-17/humaneval-solutions/119.py 1002 B runs code
- benchmarks/results/2026-01-05-00-49-17/humaneval-solutions/12.py 564 B runs code
- benchmarks/results/2026-01-05-00-49-17/humaneval-solutions/120.py 706 B runs code
- benchmarks/results/2026-01-05-00-49-17/humaneval-solutions/121.py 339 B runs code
- benchmarks/results/2026-01-05-00-49-17/humaneval-solutions/122.py 494 B runs code
- benchmarks/results/2026-01-05-00-49-17/humaneval-solutions/123.py 1.1 KB runs code
- benchmarks/results/2026-01-05-00-49-17/humaneval-solutions/124.py 1.6 KB runs code
- benchmarks/results/2026-01-05-00-49-17/humaneval-solutions/125.py 757 B runs code
- benchmarks/results/2026-01-05-00-49-17/humaneval-solutions/126.py 943 B runs code
- benchmarks/results/2026-01-05-00-49-17/humaneval-solutions/127.py 1.5 KB runs code
- benchmarks/results/2026-01-05-00-49-17/humaneval-solutions/128.py 653 B runs code
- benchmarks/results/2026-01-05-00-49-17/humaneval-solutions/129.py 2.2 KB runs code
- benchmarks/results/2026-01-05-00-49-17/humaneval-solutions/13.py 264 B runs code
- benchmarks/results/2026-01-05-00-49-17/humaneval-solutions/130.py 940 B runs code
- benchmarks/results/2026-01-05-00-49-17/humaneval-solutions/131.py 417 B runs code
- benchmarks/results/2026-01-05-00-49-17/humaneval-solutions/132.py 1.0 KB runs code
- benchmarks/results/2026-01-05-00-49-17/humaneval-solutions/133.py 524 B runs code
- benchmarks/results/2026-01-05-00-49-17/humaneval-solutions/134.py 779 B runs code
- benchmarks/results/2026-01-05-00-49-17/humaneval-solutions/135.py 481 B runs code
- benchmarks/results/2026-01-05-00-49-17/humaneval-solutions/136.py 667 B runs code
- benchmarks/results/2026-01-05-00-49-17/humaneval-solutions/137.py 751 B runs code
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.
- 3d ago First seen · 722 lines · 152 tokens per session scan A d8a3e2e639a8
loki-mode is a skill published in the GitHub repository davila7/claude-code-templates (30,546 stars, last pushed today), licensed MIT. It adds 152 tokens to every session and 6,595 once invoked, about $0.0008 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 2026-09-03.
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