Agentic-Memory: Agent for Claude Code

.opencode/agents/drift-investigator.md

drift-investigator is an agent for Claude Code, OpenCode from ArkaAiAdmin/Agentic-Memory. It costs 22 tokens per session (1,373 once invoked), scanned A, original, Apache-2.0.

A coding-agent role for finding drift, meaning cases where a running system no longer matches its expected configuration, documentation, concepts, or stored vectors.

In plain words
What is it for?
It is for producing configuration-drift reports, running integrity and health checks, comparing saved reports, and investigating drift enforcement and audit records.
Why use it?
It helps reveal configuration changes and other differences that can make a system behave inconsistently or lose data quality.

Agent for Claude CodeOpenCode

Written for OpenCode and Claude Code: installed under .opencode/, but also a Claude Code subagent (agents/*.md). Also seen: mentions subagents; mentions AGENTS.md.

This is ArkaAiAdmin/Agentic-Memory's own configuration. It tells Claude Code and OpenCode how to work on Agentic-Memory itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything Agentic-Memory configures →

Reuse

Borrowing it

Nothing to install: this file belongs to ArkaAiAdmin/Agentic-Memory. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/ArkaAiAdmin/Agentic-Memory/main/.opencode/agents/drift-investigator.md
Clone the repo
git clone --depth 1 https://github.com/ArkaAiAdmin/Agentic-Memory

Made for: Claude Code, OpenCode.

Wrote 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.

agentmods badge for drift-investigator

README.md
[![agentmods](https://agentmods.dev/badge/agents/arkaaiadmin/agentic-memory/drift-investigator/github.svg)](https://agentmods.dev/agents/arkaaiadmin/agentic-memory/drift-investigator)
Your own site
<a href="https://agentmods.dev/agents/arkaaiadmin/agentic-memory/drift-investigator"><img src="https://agentmods.dev/badge/agents/arkaaiadmin/agentic-memory/drift-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.

agentmods 80×15 button for drift-investigator

Your own site · 80×15
<a href="https://agentmods.dev/agents/arkaaiadmin/agentic-memory/drift-investigator"><img src="https://agentmods.dev/badge/agents/arkaaiadmin/agentic-memory/drift-investigator.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 22 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,373 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00022 $0.01373
Opus 5.5 $0.00009 $0.00549
Sonnet 5.5 $0.00004 $0.00275
Haiku 4.5 $0.00002 $0.00137

Measured 1mo ago against content hash d04c5ab303e1, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

drift-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 1mo 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.

.opencode/agents/drift-investigator.md · 138 lines

How it starts

The opening of the file, as written. The whole thing — 138 lines — stays where its author put it; the contents beside it link to each section on GitHub.

You are a drift investigator for the agentic-memory system. Drift means the running system has diverged from its expected state.

MCP entry points

# Config drift report
memory_maintenance(operation="config_drift")

# Full integrity check (includes drift)
memory_maintenance(operation="check_integrity", deep=True)

# Health check (includes drift summary)
memory_health_check()

Types of drift you investigate

1. Configuration drift (infra/config_drift*.py)

Six modules form the drift framework:

Module Purpose
infra/config_drift.py DriftSeverity enum, _FLAG_TIERS dict, build_drift_report(), diff_reports(), snapshot persistence
infra/config_drift_policy.py DriftEnforceMode (WARN/SOFT_BLOCK/HARD_FAIL), resolve_policy(), enforce(), run_startup_enforcement()
infra/config_drift_runtime.py Rolling-window escalation tracker: record_drift(), should_escalate(), mark_escalated()
infra/config_drift_escape.py EscapeHatch dataclass, MEMORY_ESCAPE_HATCH env var parser
infra/config_drift_audit.py AuditEvent dataclass, append_audit_event(), JSONL rotation at 50MB
infra/config_drift_tier_patch.py apply_tier_overrides_from_toml(), live hot-patching of _FLAG_TIERS

Diagnose:

from infra.config_drift import build_drift_report
report = build_drift_report()
for e in report.entries:
    if e.has_drift():
        print(f"[{e.severity}] {e.flag}: {e.drift_verdicts}")

Drift verdict types:

  • source_conflict — env var and TOML disagree
  • parse_failure — env value cannot be coerced to target type
  • type_mismatch — TOML value has wrong Python type
  • override_from_default — effective value differs from hardcoded default
  • explicit_default_via_env_mismatch — env set but effective == default (possible coercion issue)
  • INTEGRITY_CRITICAL_DISABLED — data-loss risk window open (INTEGRITY tier flag disabled)

Escape hatch format:

MEMORY_ESCAPE_HATCH="scope;reason;operator-id;duration_secs;reaffirm_secs"

Audited, time-bounded, requires re-affirmation. Check with:

from infra.config_drift_escape import active_escape_hatch
hatch = active_escape_hatch()
if hatch:
    print(f"ACTIVE ESCAPE: {hatch.reason} by {hatch.operator_id}")

Read the full file on GitHub · 138 lines

Changes

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.

  1. 1mo ago First seen · 138 lines · 22 tokens per session scan A d04c5ab303e1

Subscribe to this mod's changes

drift-investigator is an agent published in the GitHub repository ArkaAiAdmin/Agentic-Memory (0 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 22 tokens to every session and 1,373 once invoked, about $0.0001 per session on Opus 5.5. 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.

Related

Other agents, from other repositories

review-obsidian-guidelines

Reviews a diff of obsidian-reminder against Obsidian's community plugin guidelines and directory review rules that ESLint does not already enforce — manifest metadata, command naming, settings UI, styling, mobile compatibility, vault access APIs. Used by the pr-review workflow; read-only.

uphy/obsidian-reminder · 63 tokens

debugger

Diagnoses and fixes failed modules using root-cause analysis, not guessing.

TT-Wang/forge · 17 tokens

debugger

Investigate errors systematically to find root cause before attempting fixes. Gathers evidence, analyzes patterns, and forms testable hypotheses.

bostonaholic/rpikit · 28 tokens

loom-advisor

Read-only advisory agent for debugging and repeated failures. Spawned instead of a blind retry when an implementer has failed twice on the same task, or a bug resists straightforward diagnosis. Returns a root-cause diagnosis plus one concrete next step.

cosmix/loom · 53 tokens

evolve-retrospective

Failure post-mortem agent for the Evolve Loop. Fires only on Auditor FAIL or WARN verdicts. Reads cycle artifacts and produces a structured retrospective + failure-lesson YAML files. READ-ONLY outside the lessons directory.

mickeyyaya/evolve-loop · 51 tokens

type-reconstructor

Dedicated struct/class reconstruction from IDA Pro decompiled binaries. Scans every function for memory access patterns, merges evidence across the module, resolves vtable and COM interface layouts, and generates compilable C++ header files with per-field confidence annotations. Use for full-module or single-class…

marcosd4h/DeepExtractRuntime · 63 tokens