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 pqpo/pragma --skill manage-pragmagit clone --depth 1 https://github.com/pqpo/pragmaWrote 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/pqpo/pragma/manage-pragma)<a href="https://agentmods.dev/skills/pqpo/pragma/manage-pragma"><img src="https://agentmods.dev/badge/skills/pqpo/pragma/manage-pragma/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/pqpo/pragma/manage-pragma"><img src="https://agentmods.dev/badge/skills/pqpo/pragma/manage-pragma.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 | $0.00499 |
| Opus 5.5 | $0.00014 | $0.00200 |
| Sonnet 5.5 | $0.00007 | $0.00100 |
| Haiku 4.5 | $0.00003 | $0.00050 |
Grade A, and why
manage-pragma 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 8d 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.
The source is not reproduced here
Licensed AGPL-3.0
The repository is licensed AGPL-3.0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.
What ships with it
19 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.
- agents/openai.yaml 260 B
- references/automations.md 1.6 KB
- references/automations/automation.md 2.7 KB
- references/dsl.md 4.6 KB
- references/dsl/avatars.md 3.1 KB
- references/dsl/commands.md 1.5 KB
- references/dsl/expert-team.md 3.1 KB
- references/dsl/expert.md 2.5 KB
- references/dsl/resources-and-references.md 3.3 KB
- references/evaluation.md 3.0 KB
- references/evaluation/run-dry.md 4.0 KB
- references/flow.md 3.2 KB
- references/flow/commands.md 2.9 KB
- references/flow/flow-patterns.md 1.3 KB
- references/flow/flow.md 3.8 KB
- references/missions.md 1.2 KB
- references/missions/commands.md 1.6 KB
- references/missions/external-cli.md 2.3 KB
- references/resources.md 2.5 KB
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.
- 8d ago First seen · 41 lines · 34 tokens per session scan A 5f2795029a99
manage-pragma is a skill published in the GitHub repository pqpo/pragma (251 stars, last pushed yesterday), licensed AGPL-3.0. It adds 34 tokens to every session and 499 once invoked, about $0.0001 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 2026-10-10.
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