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 darellchua2/opencode-config-template --skill zai-image-generation-skillgit clone --depth 1 https://github.com/darellchua2/opencode-config-templateWrote 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/darellchua2/opencode-config-template/zai-image-generation-skill)<a href="https://agentmods.dev/skills/darellchua2/opencode-config-template/zai-image-generation-skill"><img src="https://agentmods.dev/badge/skills/darellchua2/opencode-config-template/zai-image-generation-skill.svg" alt="Measured on agentmods" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 6 findings, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high Supply Chain · line 54 Remote code is downloaded and executed. This bypasses code review and could introduce malicious code.Fix: Avoid downloading and executing remote scripts. Use trusted packages from PyPI/npm. If remote fetch is required, verify checksums and use HTTPS.
- medium Data Exfiltration · line 51 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
- medium Data Exfiltration · line 89 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
- medium Data Exfiltration · line 115 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
- medium Data Exfiltration · line 54 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
- medium Prompt Injection · line 82 Large whitespace padding was detected (a block of blank lines or a long run of spaces). This can push injected instructions below or to the right of the visible area so a human reviewer never sees them while the agent still reads them. Manual review of the hidden content is recommended.Fix: Remove the large whitespace padding (blank-line blocks or long space runs) and review any content hidden below or to the right of it. Keep skill files compact and reviewable so no instructions can be
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 | $0.00053 | $0.01862 |
| Opus 5 | $0.00026 | $0.00931 |
| Sonnet 5 | $0.00011 | $0.00372 |
| Haiku 4.5 | $0.00005 | $0.00186 |
Grade A, and why
zai-image-generation-skill scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 4d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
RESP=$(curl -sS --max-time 180 -X POST "$ENDPOINT/images/generations" \ How it starts
The opening of the file, as written. The whole thing — 122 lines — stays where its author put it; the contents beside it link to each section on GitHub.
What I do
I provide the exact recipe for an agent to generate an image from a text prompt via the Z.AI
GLM-Image API and save it to a local file. OpenCode's provider layer is chat-only, so image
generation (a separate /images/generations endpoint) is reachable only through a direct HTTP call.
The API returns a temporary URL (expires in ~30 days) on mfile.z.ai, so the recipe always
downloads the result to a persistent file on disk.
Why a skill (not a provider)
- OpenCode providers (
@ai-sdk/openai-compatible) speak chat completions — they cannot hit the/images/generationsendpoint or return binary files. - GLM-Image is a dedicated generation model (
glm-image,cogview-4-250304), separate from the chat/vision lineup. Calling it requires a targetedPOST {base}/images/generations. - The result is a URL, not text — a file must be produced and its path returned to the caller.
Prerequisite — API key resolution
The recipe resolves the key robustly (env first, then opencode's credential store):
KEY="${ZAI_API_KEY:-$(jq -r '.["zai-coding-plan"].key // .["zai"].key // empty' \
~/.local/share/opencode/auth.json 2>/dev/null)}"
[ -z "$KEY" ] && { echo "ZAI_API_KEY not found — set it (export ZAI_API_KEY=...) or run \`opencode auth login\` (Z.AI)."; exit 1; }
If neither source has the key, stop and report — do not proceed.
Recipe
Set the options, then run generate → extract URL → download → verify:
# --- options ---
PROMPT="A cute kitten on a sunny windowsill, blue sky and white clouds" # REQUIRED
OUT="${OUT:-./glm-image-$(date +%s).png}" # output path (default: ./glm-image-<ts>.png)
SIZE="${SIZE:-1280x1280}" # glm-image: 1280x1280 | 1568x1056 | 1056x1568 | 1472x1088 | 1088x1472 | 1728x960 | 960x1728
QUALITY="${QUALITY:-standard}" # standard (~5-10s) | hd (~20s, richer detail)
MODEL="${MODEL:-glm-image}" # glm-image (default) | cogview-4-250304
ENDPOINT="${ZAI_IMAGE_ENDPOINT:-https://api.z.ai/api/coding/paas/v4}" # coding plan (subscription). Alt: https://api.z.ai/api/paas/v4 (pay-as-you-go)
# --- 1. generate ---
RESP=$(curl -sS --max-time 180 -X POST "$ENDPOINT/images/generations" \
-H "Authorization: Bearer $KEY" \
-H 'Content-Type: application/json' \
-d "$(python3 -c 'import json,sys
print(json.dumps({"model":sys.argv[1],"prompt":sys.argv[2],"size":sys.argv[3],"quality":sys.argv[4]}))' \
"$MODEL" "$PROMPT" "$SIZE" "$QUALITY")")
# --- 2. extract URL (or surface the error) ---
URL=$(printf '%s' "$RESP" | python3 -c '
import sys, json
d = json.load(sys.stdin)
if d.get("error"):
sys.stderr.write("API error: " + json.dumps(d["error"]) + "\n"); sys.exit(1)
print(d.get("data",[{}])[0].get("url",""))') || { echo "Generation failed. Response: $RESP"; exit 1; }
[ -z "$URL" ] && { echo "No image URL in response: $RESP"; exit 1; }
# --- 3. download to file (follow redirects; URL contains '?') ---
curl -L -sS --max-time 120 -o "$OUT" "$URL" || { echo "Download failed for $URL"; exit 1; }
# --- 4. verify it's a real image ---
file "$OUT" | grep -qiE 'image|png|jpeg' && echo "SAVED: $OUT ($(wc -c <"$OUT") bytes)" \
|| { echo "Downloaded file is not an image: $(file "$OUT")"; exit 1; }
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.
- 4d ago First seen · 122 lines · 53 tokens per session scan A 43bf7660c45b
zai-image-generation-skill is a skill published in the GitHub repository darellchua2/opencode-config-template (6 stars, last pushed yesterday), licensed Apache-2.0. It adds 53 tokens to every session and 1,862 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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