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 commands/kossakovsky/cc-plugins/zaigit clone --depth 1 https://github.com/kossakovsky/cc-pluginsWhat 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 | $0.00006 | $0.00456 |
| Opus 5 | $0.00003 | $0.00228 |
| Sonnet 5 | $0.00001 | $0.00091 |
| Haiku 4.5 | $0.00001 | $0.00046 |
Grade B, and why
zai scanned grade B with 1 finding 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 yesterday.
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.
Reads agent configuration directoriesmediumAgent snooping
.claude/, .codex/, .gemini/ hold keys, settings and other credentials a mod has no legitimate need for.
c. Read `~/.claude/settings.json` — if `env.ANTHROPIC_AUTH_TOKEN` exists and `env.ANTHROPIC_BASE_URL` contains `z.ai`, reuse the existing key What it actually says
Switch to Z.AI
Switch Claude Code to use Z.AI as the AI provider.
Provider Config
- ANTHROPIC_BASE_URL:
https://api.z.ai/api/anthropic - ANTHROPIC_DEFAULT_OPUS_MODEL:
glm-5 - ANTHROPIC_DEFAULT_SONNET_MODEL:
glm-4.7 - ANTHROPIC_DEFAULT_HAIKU_MODEL:
glm-4.5-air - ANTHROPIC_SMALL_FAST_MODEL:
glm-4.5-air
Steps
-
Resolve API key (in order of priority): a. If an argument was provided, use it as the API key b. Read
~/.claude/provider-keys.json— if it exists and has azaikey, use it c. Read~/.claude/settings.json— ifenv.ANTHROPIC_AUTH_TOKENexists andenv.ANTHROPIC_BASE_URLcontainsz.ai, reuse the existing key d. If no key found, ask the user to provide their Z.AI API key -
Read
~/.claude/settings.jsonusing the Read tool -
Update the
envsection with:{ "ANTHROPIC_AUTH_TOKEN": "<resolved-api-key>", "ANTHROPIC_BASE_URL": "https://api.z.ai/api/anthropic", "ANTHROPIC_DEFAULT_OPUS_MODEL": "glm-5", "ANTHROPIC_DEFAULT_SONNET_MODEL": "glm-4.7", "ANTHROPIC_DEFAULT_HAIKU_MODEL": "glm-4.5-air", "ANTHROPIC_SMALL_FAST_MODEL": "glm-4.5-air" } -
Write the updated settings back to
~/.claude/settings.json -
Confirm the switch and tell the user: Restart Claude Code to apply 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.
- yesterday First seen · 43 lines · 6 tokens per session scan B 4eb4dbff8b89
zai is a command published in the GitHub repository kossakovsky/cc-plugins (3 stars, last pushed 5mo ago), licensed MIT. It adds 6 tokens to every session and 456 once invoked, about $0.0000 per session on Opus 5. A static security scan graded it B with 1 finding (reads agent configuration directories). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
Other commands, from other repositories
checklist
Generate a custom checklist for the current feature based on user requirements.
clarify
Identify underspecified areas in the current feature spec by asking up to 5 highly targeted clarification questions and encoding answers back into the spec.
specify
Create or update the feature specification from a natural language feature description.
analyze
Perform a non-destructive cross-artifact consistency and quality analysis across spec.md, plan.md, and tasks.md after task generation.
converge
Assess the current codebase against the feature's spec, plan, and tasks, then append any remaining unbuilt work as new tasks to tasks.md so implement can complete it.
implement
Execute the implementation plan by processing and executing all tasks defined in tasks.md.