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 Bumblebiber/hmem --skill hmem-new-errorgit clone --depth 1 https://github.com/Bumblebiber/hmemWrote 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/bumblebiber/hmem/hmem-new-error)<a href="https://agentmods.dev/skills/bumblebiber/hmem/hmem-new-error"><img src="https://agentmods.dev/badge/skills/bumblebiber/hmem/hmem-new-error/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/bumblebiber/hmem/hmem-new-error"><img src="https://agentmods.dev/badge/skills/bumblebiber/hmem/hmem-new-error.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 | $0.00069 | $0.00875 |
| Opus 5.5 | $0.00028 | $0.00350 |
| Sonnet 5.5 | $0.00014 | $0.00175 |
| Haiku 4.5 | $0.00007 | $0.00088 |
Grade A, and why
hmem-new-error 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.
How it starts
The opening of the file, as written. The whole thing — 103 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/hmem-new-error — New Error Entry
E-entries use a fixed 6-section schema (Analysis → Possible fixes → Fixing attempts → Solution → Cause → Key Learnings). The server auto-scaffolds all sections — you only need to provide a title and a flat description.
The one rule: NO TABS in the description
The parser treats every tab-indented line as a structural node. Tabs in the description accidentally create invalid L2 nodes. Write the description as flat text after a blank line:
✅ write_memory(
prefix="E",
content="Short bug title\n\nFlat description of what went wrong. No tabs here.",
tags=["#project", "#area", "#open"],
links=["P00XX"]
)
❌ write_memory(
prefix="E",
content="Short bug title\n\nDescription:\n\tStep 1 caused X\n\tStep 2 failed",
...
)
The ❌ example creates invalid L2 nodes (Step 1 caused X, Step 2 failed) that fail schema validation.
Step 1: Collect the information
Ask the user (or extract from context):
| Field | Notes |
|---|---|
| Title | Short, descriptive. Max ~50 chars. Format: What broke / where |
| Description | What happened, what was observed. Flat text, no tabs. |
| Tags | At least #open + 2–3 topic tags. |
| Links | Which P-entry does this belong to? (P00XX) |
Step 2: Write the entry
write_memory(
prefix="E",
content="<title>\n\n<flat description>",
tags=["#open", "#tag1", "#tag2"],
links=["P00XX"]
)
The server auto-creates:
- .1 Analysis (your description moves here automatically)
- .2 Possible fixes
- .3 Fixing attempts
- .4 Solution
- .5 Cause
- .6 Key Learnings
The write response shows the created ID (e.g. E0149) and a #open tag.
Step 3: Fill in what you know
Use append_memory to add detail to the sections you can already fill:
append_memory(id="E00XX.1", content="Root cause hypothesis: ...") # Analysis
append_memory(id="E00XX.2", content="Try X first, then Y") # Possible fixes
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.
- 1mo ago First seen · 103 lines · 69 tokens per session scan A 12a664687850
hmem-new-error is a skill published in the GitHub repository Bumblebiber/hmem (24 stars, last pushed 3mo ago), licensed MIT. It adds 69 tokens to every session and 875 once invoked, about $0.0003 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 2026-08-30.
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