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 skills add Yakoub-ai/neural-memory --skill neural-add-taskgit clone --depth 1 https://github.com/Yakoub-ai/neural-memoryWrote 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/skills/yakoub-ai/neural-memory/neural-add-task)<a href="https://agentmods.dev/skills/yakoub-ai/neural-memory/neural-add-task"><img src="https://agentmods.dev/badge/skills/yakoub-ai/neural-memory/neural-add-task/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/skills/yakoub-ai/neural-memory/neural-add-task"><img src="https://agentmods.dev/badge/skills/yakoub-ai/neural-memory/neural-add-task.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 | $0.00034 | $0.00508 |
| Opus 5 | $0.00017 | $0.00254 |
| Sonnet 5 | $0.00007 | $0.00102 |
| Haiku 4.5 | $0.00003 | $0.00051 |
Grade A, and why
neural-add-task 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 9d 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
Neural Memory — Add Task
Manually create a task node in the knowledge graph. Use this to track in-progress work, planned features, or phase milestones directly in the graph without editing context log files.
How to call
Via MCP tool (neural-memory configured as MCP server in Claude Code):
Tool: neural_add_task
{
"title": "Implement caching for importance scores",
"phase_name": "Phase 3 — Performance",
"priority": "high",
"task_status": "in_progress",
"related_files": ["neural_memory/graph.py", "neural_memory/storage.py"]
}
Via Python (working directly in the project):
import asyncio
from neural_memory.server import neural_add_task, AddTaskInput
asyncio.run(neural_add_task(AddTaskInput(
title="Implement caching for importance scores",
phase_name="Phase 3 — Performance",
priority="high",
task_status="in_progress",
related_files=["neural_memory/graph.py", "neural_memory/storage.py"],
)))
Parameters
| Parameter | Required | Type | Description |
|---|---|---|---|
title |
Yes | str | Task title (min 3 chars) |
phase_name |
No | str | Phase to attach this task to (creates the phase node if it doesn't exist) |
priority |
No | str | "low" / "medium" / "high" (default: "medium") |
task_status |
No | str | "pending" / "in_progress" / "done" (default: "pending") |
related_files |
No | list[str] | File paths this task relates to |
project_root |
No | str | Project root (default: ".") |
Notes
- The task node is linked to matching code nodes via
RELATES_TOedges - Phase nodes are created automatically from
phase_nameif they don't exist - Tasks are also auto-imported from
.claude/context-log-tasks-*.mdon every/neural-index - Use
/neural-queryto search tasks alongside code and bugs
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.
- 9d ago First seen · 54 lines · 34 tokens per session scan A df6b67e0843c
neural-add-task is a skill published in the GitHub repository Yakoub-ai/neural-memory (1 stars, last pushed 5mo ago), licensed MIT. It adds 34 tokens to every session and 508 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 2026-08-31.
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