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 skills/corveil/crow/verifynpx skills add corveil/crow --skill verifygit clone --depth 1 https://github.com/corveil/crowWhat 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 | $0.00030 | $0.00854 |
| Opus 5 | $0.00015 | $0.00427 |
| Sonnet 5 | $0.00006 | $0.00171 |
| Haiku 4.5 | $0.00003 | $0.00085 |
Grade A, and why
verify 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 2d 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.
description: Drive CrowTelemetry's OTLP ingest end-to-end — boot the real receiver, POST OTLP JSON with curl, inspect the SQLite db. What it actually says
Verifying CrowTelemetry changes
The package's runtime surface is TelemetryService (OTLPReceiver HTTP
listener on localhost + TelemetryDatabase SQLite file). There is no
standalone binary — build a throwaway harness executable that depends on this
package and boots the service:
// Sources/otlp-harness/main.swift — usage: otlp-harness <port> <data-dir>
import Foundation
import CrowTelemetry
let service = try TelemetryService(port: UInt16(CommandLine.arguments[1])!,
dataDirectory: CommandLine.arguments[2]) { id in
print("[harness] data received for session \(id)")
}
Task { try await service.start() }
dispatchMain()
Harness Package.swift: swift-tools-version 6.0, platforms: [.macOS(.v14)],
.package(path: "<repo>/Packages/CrowTelemetry"). Build with swift build,
run in the background, then drive it.
Gotchas:
-
Ingest is OTLP HTTP/JSON only (
OTEL_EXPORTER_OTLP_PROTOCOL=http/json), paths/v1/metricsand/v1/logs, POST only. One request per connection (the receiver closes it after responding).Content-LengthandTransfer-Encoding: chunkedboth work; a compressed body or a non-JSONContent-Typeis rejected by name. -
Content-Type: application/jsonis required on POST — the receiver fails closed. Pass it explicitly with curl, which otherwise sendsapplication/x-www-form-urlencodedfor-dand gets a 400:curl -X POST http://localhost:<port>/v1/logs \ -H 'Content-Type: application/json' --data-binary @payload.json -
The resource must carry
crow.session.id(a UUID string) inresource.attributes, or the payload is silently skipped. -
Datapoint values:
asDouble(number) orasInt(string or number). -
Sum metrics take
aggregationTemporality(1=delta, 2=cumulative, or theAGGREGATION_TEMPORALITY_*name) andisMonotonic; cumulative sums are normalized to deltas at insert. -
Decoding is deliberately tolerant (#823): scalars are accepted in either their number or string form, and a malformed record is skipped with a
skipped malformed N logRecordslog line rather than failing the export. -
Event names arrive bare in the
event.nameattribute (user_prompt); they are qualified toclaude_code.user_promptat ingest, which is the formcountEventsandturnAnalyticsmatch on. -
Decode failures log the
DecodingErrorcoding path, which names the offending field. SetCROW_TELEMETRY_LOG_RAW_BODIES=1to also log a truncated raw body — off by default because bodies carry account IDs and emails. Repeat failures are throttled to one report per minute per path.
Minimal payload:
{"resourceMetrics":[{"resource":{"attributes":[{"key":"crow.session.id","value":{"stringValue":"<UUID>"}}]},
"scopeMetrics":[{"metrics":[{"name":"claude_code.cost.usage",
"sum":{"aggregationTemporality":2,"isMonotonic":true,"dataPoints":[{"asDouble":1.0}]}}]}]}]}
Observe results with the sqlite3 CLI against <data-dir>/telemetry.db:
SELECT metric_name, value, attributes_json FROM metrics ORDER BY id and
compare SUM(value) per metric to the expected total. Events land in the
events table via /v1/logs.
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.
- 2d ago First seen · 72 lines · 30 tokens per session scan A 83a5ba7d9949
verify is a skill published in the GitHub repository corveil/crow (18 stars, last pushed 2d ago), licensed Apache-2.0. It adds 30 tokens to every session and 854 once invoked, about $0.0002 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 2026-08-30.
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