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/synaptiai/agent-capability-standard/attributenpx skills add synaptiai/agent-capability-standard --skill attributegit clone --depth 1 https://github.com/synaptiai/agent-capability-standardWhat 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 | $0.00029 | $0.01946 |
| Opus 5 | $0.00015 | $0.00973 |
| Sonnet 5 | $0.00006 | $0.00389 |
| Haiku 4.5 | $0.00003 | $0.00195 |
Grade A, and why
attribute 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 2d 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 — 262 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Intent
Establish causal relationships between observed effects and potential causes. This capability supports root cause analysis, dependency mapping, and causal reasoning for planning and debugging.
Success criteria:
- Causes identified for observed effects
- Causal strength estimated for each relationship
- Causal mechanism explained
- Alternative causes considered and ruled out
Compatible schemas:
schemas/output_schema.yaml
Inputs
| Parameter | Required | Type | Description |
|---|---|---|---|
effect |
Yes | any | The observed effect to attribute |
candidates |
No | array | Potential causes to evaluate |
context |
No | object | Situational context for attribution |
depth |
No | string | Analysis depth: immediate, chain, comprehensive |
Procedure
-
Characterize the effect: Understand what needs to be explained
- Document the observed effect precisely
- Note timing and circumstances
- Identify what changed
-
Identify candidate causes: Generate list of potential causes
- Use provided candidates if available
- Generate additional candidates from context
- Consider proximate and distal causes
-
Evaluate causal strength: Assess each candidate
- Check temporal precedence (cause before effect)
- Verify mechanism plausibility
- Look for correlation evidence
- Consider counterfactual (would effect occur without cause?)
-
Trace causal chain: Map the path from cause to effect
- Identify intermediate steps
- Note amplifying or dampening factors
- Document the causal mechanism
-
Rule out alternatives: Eliminate unlikely causes
- Document why alternatives are less likely
- Note any confounding factors
- Flag when multiple causes may contribute
-
Quantify confidence: Assess attribution certainty
- Rate strength of causal evidence
- Note missing evidence
- Identify what would confirm/refute attribution
Output Contract
What ships with it
5 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.
- 2d ago First seen · 262 lines · 29 tokens per session scan A f8338c6fb143
attribute is a skill published in the GitHub repository synaptiai/agent-capability-standard (4 stars, last pushed 3d ago), licensed Apache-2.0. It adds 29 tokens to every session and 1,946 once invoked, about $0.0001 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 2026-08-31.
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