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BD fitness-nutrition

Workout planning, macros, and body metrics via wger/USDA.

NousResearch/hermes-agent Hermes author: NousResearch MIT 4 files body ≈ 2 258 tokens Open the sourcegithub.com↗ analyzed 2 d ago

Workout planning, macros, and body metrics via wger/USDA.

As a process D 49/100 · Unfinished process — weak spots: result and completion, inputs and preconditions, failures and branches

ProcedureData and analyticsSoftware developmenttype and topics are labelled automatically from the skill text
Runs in: Hermes Agent
JSON
Technical rating
B
88/100
safety, quality, tests
Safety 60%
91
Quality 40%
84
Run on models
none yet
Process rating
D
49/100
Unfinished process
Result and completion w 14
0
Inputs and preconditions w 11
0
Failures and branches w 10
0
the three weakest of ten parameters · all ten

What is at stake

Medium-severity findings: the skill is probably honest, but read what alarmed the scanner.

Broad scope medium severity

Below is the worst case for this category. The finding here is medium: the guard saw a sign, not a proof.

If you install

The skill asks for more than the task needs: broad tool access, credential environment variables, binaries. Every extra permission widens the damage from a mistake or a compromise.

For the author

Narrow allowed-tools and the variable list to the minimum; replace binaries with readable sources or scripts.

How to improve

    For the model run — optional
    • Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
    • A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.

    Guard findings · 5

    ✓ No critical or high findings

    Medium and low: 5
    • medium Broad scope meta-requests-env-secret SKILL.md:1
      Skill asks the runtime to inject credential env vars into its sandbox: USDA_API_KEY — verify each one is needed for the stated purpose
      required_environment_variables: USDA_API_KEY
    • low Exfiltration exfil-secret-in-url SKILL.md:169
      Credential passed in a URL query string (normal for some APIs — verify the host is the intended service) (placeholder value)
      curl -s "https://api.nal.usda.gov/fdc/v1/foods/search?api_key=…&query=…&pageSize=5&dataType=…" \
      placeholder
    • low Exfiltration net-credential-use SKILL.md:169
      Credential used in a network call (verify the destination is the intended service) (the skill's own vendor host)
      curl -s "https://api.nal.usda.gov/fdc/v1/foods/search?api_key=…&query=…&pageSize=5&dataType=…" \
      vendor-host
    • low Exfiltration exfil-secret-in-url SKILL.md:190
      Credential passed in a URL query string (normal for some APIs — verify the host is the intended service) (placeholder value)
      curl -s "https://api.nal.usda.gov/fdc/v1/food/${FDC_ID}?api_key=…" \
      placeholder
    • low Exfiltration net-credential-use SKILL.md:190
      Credential used in a network call (verify the destination is the intended service) (the skill's own vendor host)
      curl -s "https://api.nal.usda.gov/fdc/v1/food/${FDC_ID}?api_key=…" \
      vendor-host

    Files scanned: 4. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    • note frontmatter-key unknown frontmatter key "authors"
    • note frontmatter-key unknown frontmatter key "required_environment_variables"
    • note edit-residue the text marks something as outdated (lines 147, 228): check that old rules are not kept next to new ones — the full check reads the text for contradictions

    Process rating: all ten parameters 49/100

    • 0Result and completion. Does not say what the result is
    • 0Inputs and preconditions. Does not say what the process needs to start
    • 0Failures and branches. Linear process with no failure handling
    • 0Progress reporting. Says nothing while it works
    • 60Tools and files. Uses tools (web, python) that frontmatter does not declare
    • 60Consistency. The Hermes dialect needs category and tags
    • 70When it triggers. States when to use, but not when not to
    • 100Steps. 26 steps
    • 100Execution cost. Instruction body is 2258 tokens
    • 100Running it twice. No mutating operations
    • low The response is described with custom markup (9 tags): a typed call is more reliable

    Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.

    Quality signals

    • +5Description has no quoted example phrases that should trigger the skill
    • +4Description does not say when NOT to use the skill (false activations)
    • +3Description length 57: 120–800 characters recommended
    • -31 of 2 scripts are never mentioned in SKILL.md
    • +2Single-language instructions
    • +4Structure: 9 headings
    • +3Step-by-step instructions: 26 items
    • +3Output format is stated explicitly
    • +4Has examples (5 code blocks)
    • +4Reference files are cited in the instructions (1 of 1)
    • +1License stated

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 84.