Borrowing it
Nothing to install: this file belongs to brake71/1c-ssl-skills. 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/brake71/1c-ssl-skills/main/.agents/skills/bdi-mental-states/SKILL.mdgit clone --depth 1 https://github.com/brake71/1c-ssl-skillsWrote 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/brake71/1c-ssl-skills/bdi-mental-states)<a href="https://agentmods.dev/skills/brake71/1c-ssl-skills/bdi-mental-states"><img src="https://agentmods.dev/badge/skills/brake71/1c-ssl-skills/bdi-mental-states/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/brake71/1c-ssl-skills/bdi-mental-states"><img src="https://agentmods.dev/badge/skills/brake71/1c-ssl-skills/bdi-mental-states.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 | $0.00053 | $0.04086 |
| Opus 5.5 | $0.00021 | $0.01634 |
| Sonnet 5.5 | $0.00011 | $0.00817 |
| Haiku 4.5 | $0.00005 | $0.00409 |
Grade A, and why
bdi-mental-states 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 17d 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.
This is a copy
100% identical to bdi-mental-states — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 374 lines — stays where its author put it; the contents beside it link to each section on GitHub.
BDI Mental State Modeling
Transform external RDF context into agent mental states (beliefs, desires, intentions) using formal BDI ontology patterns. This skill enables agents to reason about context through cognitive architecture, supporting deliberative reasoning, explainability, and semantic interoperability within multi-agent systems.
When to Activate
Activate this skill when:
- Processing external RDF context into agent beliefs about world states
- Modeling rational agency with perception, deliberation, and action cycles
- Enabling explainability through traceable reasoning chains
- Implementing BDI frameworks (SEMAS, JADE, JADEX)
- Augmenting LLMs with formal cognitive structures (Logic Augmented Generation)
- Coordinating mental states across multi-agent platforms
- Tracking temporal evolution of beliefs, desires, and intentions
- Linking motivational states to action plans
Do not activate this skill for adjacent work owned by other skills:
- General context-window explanations or attention mechanics:
context-fundamentals. - Persistent user, entity, or conversation memory without formal BDI state:
memory-systems. - Supervisor, swarm, or handoff topology decisions:
multi-agent-patterns. - General agent evaluation rubrics or quality gates:
evaluation.
Core Concepts
Mental Reality Architecture
Separate mental states into two ontological categories because BDI reasoning requires distinguishing what persists from what happens:
Mental States (Endurants) -- model these as persistent cognitive attributes that hold over time intervals:
Belief: Represent what the agent holds true about the world. Ground every belief in a world state reference.Desire: Represent what the agent wishes to bring about. Link each desire back to the beliefs that motivate it.Intention: Represent what the agent commits to achieving. An intention must fulfil a desire and specify a plan.
Mental Processes (Perdurants) -- model these as events that create or modify mental states, because tracking causal transitions enables explainability:
BeliefProcess: Triggers belief formation/update from perception. Always connect to a generating world state.DesireProcess: Generates desires from existing beliefs. Preserves the motivational chain.IntentionProcess: Commits to selected desires as actionable intentions.
What ships with it
4 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.
- 17d ago First seen · 374 lines · 53 tokens per session scan A 2a68bf11815b
bdi-mental-states is a skill published in the GitHub repository brake71/1c-ssl-skills (82 stars, last pushed 15d ago), licensed MIT. It adds 53 tokens to every session and 4,086 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to bdi-mental-states, differing in 0 lines, and is treated as a copy.
Other skills, from other repositories
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form-compile
A form generator for managed 1C applications. It creates Form.xml from a JSON description or from an object's 1C metadata, such as a catalogue or document.
skd-edit
A focused editor for 1C data composition schemas, the report definitions that describe queries, fields, filters, totals, and parameters. It changes an existing Template.xml file through specific operations.
form-edit
A tool for modifying an existing managed form in 1C by adding screen elements, fields, commands, and event handlers. Event handlers are code routines that run when something happens, such as a field changing.
cfe-borrow
A tool for borrowing existing 1C configuration objects into an extension, so the extension can alter or add to those objects.
cfe-patch-method
A generator for method interceptors in 1C extensions, which let an extension add code before or after an existing method or replace its body. It reads the original method and creates or updates the required BSL source file.