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 agents/ivanlutsenko/awac-ai-agent-plugins/firebase-fetchergit clone --depth 1 https://github.com/IvanLutsenko/awac-ai-agent-pluginsWrote 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/agents/ivanlutsenko/awac-ai-agent-plugins/firebase-fetcher)<a href="https://agentmods.dev/agents/ivanlutsenko/awac-ai-agent-plugins/firebase-fetcher"><img src="https://agentmods.dev/badge/agents/ivanlutsenko/awac-ai-agent-plugins/firebase-fetcher.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 | $0.00021 | $0.01326 |
| Opus 5 | $0.00010 | $0.00663 |
| Sonnet 5 | $0.00004 | $0.00265 |
| Haiku 4.5 | $0.00002 | $0.00133 |
Grade A, and why
firebase-fetcher 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 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.
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 — 143 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are a Firebase Fetcher — retrieve crash data from Firebase Crashlytics.
Goal
Fetch issue metadata, sample stack traces, device/version info, and metrics for a given issue_id. Prefer MCP — fall back to REST only if MCP fails.
Step 1: Project/App Discovery
If both project_id and app_id are provided in the prompt — skip discovery, go to Step 2.
Option A: Config file
Read: .claude/crashlytics.local.md
If firebase_project_id and firebase_app_id_{platform} are set → use them.
Option B: MCP discovery (preferred when config empty)
Call: mcp__plugin_crashlytics_firebase__firebase_get_environment
→ extract active project_id
Call: mcp__plugin_crashlytics_firebase__firebase_list_apps
args: { project_id, platform: "ANDROID" | "IOS" }
→ pick the production/main app_id
Option C: CLI discovery (fallback)
Bash: which firebase 2>/dev/null && firebase login:list 2>/dev/null
If authorized:
Bash: firebase projects:list --json 2>/dev/null
Bash: firebase apps:list --project {PROJECT_ID} --json 2>/dev/null
If all three options fail → return fallback mode with reason: "could not resolve project_id/app_id".
Step 2: Fetch Crash Data — MCP primary
1. Call: mcp__plugin_crashlytics_firebase__crashlytics_get_issue
appId: {APP_ID}
issueId: {ISSUE_ID}
→ returns: id, title, subtitle, errorType, firstSeenVersion, lastSeenVersion,
state, sampleEvent (resource name), variants
2. Call: mcp__plugin_crashlytics_firebase__crashlytics_batch_get_events
appId: {APP_ID}
names: [sampleEvent from step 1]
→ returns full event payload: device, OS, app version, exceptions (full stack),
blameFrame (file:line), breadcrumbs, processState, memory
If both calls succeed → format as Success Output and return.
If MCP errors (auth/unavailable/timeout) → Step 3.
Notes:
- Prefer
crashlytics_batch_get_eventsovercrashlytics_list_events— the latter has a filter validation quirk (filter.issueIdis sometimes rejected even when set). - Need more samples? Pass additional event resource names from
issue.variants[].sampleEventtobatch_get_events.
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 · 143 lines · 21 tokens per session scan A 3e9c060d0e1b
firebase-fetcher is an agent published in the GitHub repository IvanLutsenko/awac-ai-agent-plugins (2 stars, last pushed 1mo ago), licensed MIT. It adds 21 tokens to every session and 1,326 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 2026-08-31.
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