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 3yesore/LetUenforskills --skill asa-skill-identity-decomposergit clone --depth 1 https://github.com/3yesore/LetUenforskillsWrote 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/3yesore/letuenforskills/asa-skill-identity-decomposer)<a href="https://agentmods.dev/skills/3yesore/letuenforskills/asa-skill-identity-decomposer"><img src="https://agentmods.dev/badge/skills/3yesore/letuenforskills/asa-skill-identity-decomposer/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/3yesore/letuenforskills/asa-skill-identity-decomposer"><img src="https://agentmods.dev/badge/skills/3yesore/letuenforskills/asa-skill-identity-decomposer.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 | $0.00031 | $0.00788 |
| Opus 5 | $0.00015 | $0.00394 |
| Sonnet 5 | $0.00006 | $0.00158 |
| Haiku 4.5 | $0.00003 | $0.00079 |
Grade A, and why
asa-skill-identity-decomposer 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 12d 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 — 123 lines — stays where its author put it; the contents beside it link to each section on GitHub.
ASA Skill Identity Decomposer
Use this internal meta-skill when a model must determine the identity, purpose, type, target agent, and primary outputs of a skill package.
This skill fixes the failure mode where an analyst copies frontmatter or jumps directly into workflow without first explaining what the skill actually is.
Inputs
- Deterministic inventory for one skill package.
SKILL.mdfrontmatter and core body blocks.- Package file list and detected resource roles.
- Existing evidence objects when available.
Process
- Read the skill name and description from frontmatter.
- Identify the user problem the skill claims to solve.
- Classify the primary skill type:
file,tool,workflow,meta,domain,governance, orunknown. - Identify secondary tags only when supported by wording or file structure.
- Identify target agents only when explicitly named or strongly implied by source context.
- Identify primary outputs and distinguish final outputs from intermediate artifacts.
- Write one concise anatomy sentence in Chinese and English.
- Attach evidence to each high-confidence identity claim.
Output Contract
Return identity content suitable for structure_analysis.json:
identity:
one_line:
zh:
en:
skill_type:
primary:
secondary: []
target_agents: []
primary_outputs: []
value_proposition:
zh:
en:
confidence:
overall:
notes:
evidence: []
Anchor-Aware Output
In addition to identity content, emit minimal anchor cards when the source supports them. Keep this lightweight; do not generate a full composition plan from this skill.
Recommended anchor types:
identity_anchor: what the skill is and what problem it solves.value_anchor: the primary capability or value unit worth borrowing.output_anchor: final or intermediate output shapes.target_user_anchor: explicit or strongly implied target agent/user.
Minimal anchor card shape:
anchors:
- id: anchor.<skill_id>.identity
source_skill_id:
anchor_type: identity_anchor
name:
summary:
evidence:
path:
quote:
confidence: low | medium | high
reuse_modes:
- reference_only
- temporary_composition
- learning_note
risks: []
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.
- 12d ago First seen · 123 lines · 31 tokens per session scan A f39014840bdc
asa-skill-identity-decomposer is a skill published in the GitHub repository 3yesore/LetUenforskills (2 stars, last pushed 2mo ago), licensed MIT. It adds 31 tokens to every session and 788 once invoked, about $0.0002 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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