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 mishahanin/heading-os --skill censusgit clone --depth 1 https://github.com/mishahanin/heading-osWrote 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/mishahanin/heading-os/census)<a href="https://agentmods.dev/skills/mishahanin/heading-os/census"><img src="https://agentmods.dev/badge/skills/mishahanin/heading-os/census/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/mishahanin/heading-os/census"><img src="https://agentmods.dev/badge/skills/mishahanin/heading-os/census.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00083 | $0.02010 |
| Opus 5.5 | $0.00033 | $0.00804 |
| Sonnet 5.5 | $0.00017 | $0.00402 |
| Haiku 4.5 | $0.00008 | $0.00201 |
Grade A, and why
census 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 — 178 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/census — aggregation over the corpus
Answer an aggregating question by traversing the corpus, not by retrieving from it.
Why this exists
The step-1 benchmark (2026-08-13) measured the incumbent retrieval path against 15 code-computed truths. On the aggregating class the retrieval ceiling was 0.000. All seven questions scored exactly 0.00. That is not a low score but an unreachable one. The answer sits in no single chunk, so top-K cannot return it at any depth.
/census measured 6 of 7 on the same questions and the same corpus state.
Median 0.05 s per answer, against 0.92 s for retrieval.
The one miss is a known wording debt, not a capability gap. agg-09 names a reference list of countries that the traversal never receives. It therefore measures whether the list was guessed. It stays wrong, because the alternative was a program rewritten after the answer was known.
Both numbers live in trace/scratch/outputs/operations/census-bench/ in the data overlay.
When NOT to apply
| Signal | Route to |
|---|---|
| "what do we know about X", "where did we decide Y" | /recall |
| The corpus scope fits the context window | /recall — the engine REFUSES with exit 4 |
| An exact string in a known file | Grep |
| A new note to capture | /zk |
| Advice from the Odin brain | /odin |
| Anything about a person or company outside the workspace | /osint |
The window refusal is not advice. SRLM (arXiv:2603.15653) reports that a traversal primitive on a corpus that already fits actively hurts, so the engine refuses rather than degrade quietly.
Corpus scopes
| Scope | What it mounts |
|---|---|
threads |
the business thread registry |
crm |
the CRM contact cards |
context |
the context documents, including the pipeline |
auto_memory |
the auto-memory files and their index |
knowledge |
the knowledge base |
outputs |
produced deliverables |
Default scope set: threads, crm, context, auto_memory. Name scopes with
repeated --corpus flags; a scope you do not name is not mounted, so the
traversal cannot read it at all.
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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 Changed 0ff2eec82697
- 1mo ago Changed · +11 lines e0e666163780
- 1mo ago First seen · 167 lines · 83 tokens per session scan A 28abb2c1ea81
census is a skill published in the GitHub repository mishahanin/heading-os (11 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 83 tokens to every session and 2,010 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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