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 agentmods add skills/validmind/atryum/populate-charternpx skills add validmind/atryum --skill populate-chartergit clone --depth 1 https://github.com/validmind/atryumWrote 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/validmind/atryum/populate-charter)<a href="https://agentmods.dev/skills/validmind/atryum/populate-charter"><img src="https://agentmods.dev/badge/skills/validmind/atryum/populate-charter.svg" alt="Measured on agentmods" 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 | $0.00065 | $0.00837 |
| Opus 5 | $0.00032 | $0.00418 |
| Sonnet 5 | $0.00013 | $0.00167 |
| Haiku 4.5 | $0.00006 | $0.00084 |
Grade A, and why
populate-charter 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 3d 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 — 55 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Populate Charter
Workflow
- Read the user's instructional prompt and identify the agent's job, users, connected systems, recurring cadence, autonomous actions, approval boundaries, and expected outputs.
- Load
assets/charter-template.mdwhen the exact output structure is needed. - If the prompt is underspecified, make conservative assumptions and mark them with bracketed placeholders such as
[Owner],[Review cadence], or[Confirm system]. - Populate the foundational sections and add scenario-specific sections where the prompt needs more operational detail. Do not leave generic filler; write concrete rules derived from the prompt.
- Preserve the charter style: concise, operational, safety-forward, and written as binding instructions for the future agent and the tool-use governance system mediating it.
- Add a one-row change log with today's date unless the user provides another date.
Drafting Rules
- Use a specific title:
# CHARTER.md - {Agent Name}. - Keep
Purposeto one or two paragraphs plus a concreteSuccess looks likesentence. - Define
Scopewith three subsections:In scope,Out of scope, andHandoff conditions. - Define permission tiers as
Auto,Notify,Approve, andNever, even if some tiers are sparse. - Treat write actions, destructive actions, external communications, privacy-sensitive reads, and cross-system side effects as approval-sensitive unless explicitly safe in the prompt.
- Include prompt-injection rules whenever the agent reads untrusted text, user-generated content, documents, code, tickets, calendar descriptions, emails, CRM notes, webpages, or external feeds.
- Include failure defaults that bias toward surfacing uncertainty rather than silently acting.
- After
Safety & ethics, add only the scenario-specific sections that make the agent's autonomous behavior more governable, auditable, or predictable. - Add an output format section only when the agent produces recurring reports, tickets, PRs, messages, summaries, or other user-visible artifacts.
- Use scenario-specific sections for policies that do not belong cleanly in the foundation, such as severity/SLA tables, customer-state rules, ranking algorithms, report schemas, ticket templates, approval matrices, deduplication rules, or monitoring metrics.
What ships with it
2 files 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.
- 3d ago First seen · 55 lines · 65 tokens per session scan A a07dfb5b8d80
populate-charter is a skill published in the GitHub repository validmind/atryum (11 stars, last pushed 23d ago), licensed Apache-2.0. It adds 65 tokens to every session and 837 once invoked, about $0.0003 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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