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/the-17/agentsecrets/logsgit clone --depth 1 https://github.com/The-17/agentsecretsWhat 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 | $0.00000 | $0.00294 |
| Opus 5 | $0.00000 | $0.00147 |
| Sonnet 5 | $0.00000 | $0.00059 |
| Haiku 4.5 | $0.00000 | $0.00029 |
Grade A, and why
logs 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 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.
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.
What it actually says
agentsecrets logs
Stream, export, and summarize global backend audit histories.
Usage
agentsecrets logs <command> [flags]
Description
The logs commands access your permanent, tamper-resistant backend audit ledger. This functionality empowers teams to verify exactly which AI agent triggered what API, under what identity, and whether they successfully executed their autonomous flows without unauthorized data spillage.
Available Commands
list
Retrieves a paginated or streamable list of proxy events matching specific criteria over a workspace or project.
agentsecrets logs list
agentsecrets logs list --identity <agent-id> --days 30
agentsecrets logs list --tail # securely stream live global audits in real time
export
Exports global logs off-platform for reporting and compliance tracking. It safely formats historical data (exports strictly omit plaintext credential payload fields).
agentsecrets logs export --format json > audit.json
agentsecrets logs export --format csv --days 90
summary
Generates high-level statistical usage metrics aggregating API traffic, failure rates, and success boundaries.
agentsecrets logs summary
agentsecrets logs summary --days 7
detail
Displays deep, granular metadata regarding a specific request UUID block.
agentsecrets logs detail <log-id>
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 · 48 lines · 0 tokens per session scan A 6caffb8a45db
logs is a command published in the GitHub repository The-17/agentsecrets (172 stars, last pushed 4d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 294 tokens. 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 2026-08-30.
Other commands, from other repositories
nyxid-connect
Connect a catalog service through NyxID without placing its credential in the agent context.
git
Git operations with intelligent commit messages and workflow optimization.
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.