Borrowing it
Nothing to install: this file belongs to validmind/atryum. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/validmind/atryum/main/.agents/skills/populate-charter/SKILL.mdgit 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/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/validmind/atryum/populate-charter"><img src="https://agentmods.dev/badge/skills/validmind/atryum/populate-charter.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 | $0.00065 | $0.00837 |
| Opus 5.5 | $0.00026 | $0.00335 |
| Sonnet 5.5 | $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 2mo 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.
- 2mo 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 yesterday), licensed Apache-2.0. It adds 65 tokens to every session and 837 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.
populate-charter compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| populate-chartervalidmind/atryum | Skill | 11 | yesterday | Apache-2.0 | A | 65 | Codex |
| imagegenopenai/codex | Skill | 133k | yesterday | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 99k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | 4d ago | MIT | A | 200 | Claude Code, Codex |
| systematic-debuggingobra/superpowers | Skill | 313k | 3d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 95 | Claude Code |
| next-partial-prefetching-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 103 | Claude Code |