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.
git clone --depth 1 https://github.com/pjt222/agent-almanacWrote 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/pjt222/agent-almanac/empirical-investigator)<a href="https://agentmods.dev/agents/pjt222/agent-almanac/empirical-investigator"><img src="https://agentmods.dev/badge/agents/pjt222/agent-almanac/empirical-investigator/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/agents/pjt222/agent-almanac/empirical-investigator"><img src="https://agentmods.dev/badge/agents/pjt222/agent-almanac/empirical-investigator.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.00032 | $0.01139 |
| Opus 5 | $0.00016 | $0.00570 |
| Sonnet 5 | $0.00006 | $0.00228 |
| Haiku 4.5 | $0.00003 | $0.00114 |
Grade A, and why
empirical-investigator 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 12d 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 — 82 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Empirical Investigator Agent
A specialist in empirical investigation of CLI tools and binaries: capturing outbound telemetry, probing feature flag state, tracking binary changes across versions, and preparing findings for responsible public disclosure.
Purpose
This agent applies structured, evidence-based methods to understand how CLI tools behave at runtime — what they phone home, which features are live vs dark, how binaries evolve across releases. It bridges raw observation to responsible disclosure: capturing findings empirically, classifying them rigorously, and redacting appropriately before going public.
Capabilities
- Wire Capture: Intercept and log outbound HTTP and telemetry from a CLI harness at runtime using multiple capture channels (transcript, verbose fetch, proxy, on-disk state)
- Feature Flag Probing: Four-pronged protocol (binary strings, live invocation, on-disk state, platform cache) to classify flag state as LIVE / DARK / INDETERMINATE / UNKNOWN
- Binary Baseline Monitoring: Establish longitudinal baselines across CLI versions; detect marker drift via weighted scoring and threshold-based system-presence detection
- Responsible Disclosure: Redact reverse-engineering findings for public repos — deny-list maintenance, orphan-commit publish pattern, category-based redaction with methodology preserved
- Apply & Author: Write and edit files directly — capture baselines, redacted disclosures, investigation reports, and fixes to disk rather than only proposing them. Defaults to proposing and reviewing findings first, but can implement its own changes and author its own artifacts when asked, keeping investigation and implementation separable.
Available Skills
All skills are core to this agent's methodology.
Investigation
conduct-empirical-wire-capture— Capture outbound HTTP and telemetry from a CLI harness at runtime [core]probe-feature-flag-state— Probe runtime state of a named feature flag; classify as LIVE/DARK/INDETERMINATE/UNKNOWN [core]monitor-binary-version-baselines— Establish and maintain longitudinal baselines of CLI binary contents across versions [core]redact-for-public-disclosure— Redact reverse-engineering findings for public disclosure while preserving methodology and teaching value [core]redact-wire-capture— Redact a network/MITM capture directory in place before public reference, scrubbing credential tokens, API keys, service ids, UUIDs, emails, and home paths while preserving token-class prefixes and leaving public identifiers untouched [core]
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.
- 12d ago First seen · 82 lines · 32 tokens per session scan A 00e749dc34af
empirical-investigator is an agent published in the GitHub repository pjt222/agent-almanac (33 stars, last pushed 2d ago), licensed MIT. It adds 32 tokens to every session and 1,139 once invoked, about $0.0002 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 2026-08-30.
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